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Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: • Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity., • Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis., • Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights., • Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders., • Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making., • Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need: • US Citizenship is required, • Bachelor's degree is required, • Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations., • Skilled in SQL, R, and other languages to assist in database querying and statistical programming., • Strong foundational knowledge and experience in statistics, probability, and experimental design., • Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker)., • Experience applying data governance concepts and techniques to assure greater data quality and reliability., • he curiosity and creativity to uncover hidden patterns and opportunities., • Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: • Hands-on experience with Python, SQL, and modern ML frameworks., • Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models., • Expertise in Python or Java for data processing., • Demonstrated work experience within the public sector., • Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are looking for a hands-on senior software engineer with deep knowledge of Microsoft Power Apps, including Microsoft Dynamics 365 developer. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. What You Will Need: * Minimum of THREE (3) years of experience on Microsoft Power Platform * US Citizenship is contractually required for this role * Minimum Degree: US equivalent Bachelor's Degree * Selected Candidate must be able to work in a hybrid environment * Hands-on experience with D365 Customer Experience / Dynamics CRM / PowerApps / Power Automate technical solutions * Experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments * Hands on experience with one or more of the following D365 / Dynamics CRM modules: Customer Engagement, Project Service Automation, Field Service, Sales, Marketing * Experience developing & deploying business applications using Microsoft’s Dynamics Power Platform Core Skills: C#, SQL, .Net, D365, CRM SDK, CRM Plugins, PowerApps, Power BI, & Power Automate (formally known as Flow) * Intermediate to advanced knowledge of relational database concepts * Must have experience with full life-cycle implementation of Dynamics 365 * Must demonstrate knowledge and experience in ERP implementation principles, practices and methodologies * Must have experience and strong working knowledge across all MS Dynamics D365 Customer Engagement modules * Provide Batch Job monitoring and issue resolution * Provide Integration monitoring and resolution * Scribe experience necessary * Experience across the full MS BI Stack - SSIS, SSAS, SSRS * Experience on Microsoft Portals * Experience with Agile methodology What Would Be Nice To Have: * Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired * BA/BS degree in Business, Computer Science or Engineering * Experience with public sector clients preferred * Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: None Clearance Required: None What You Will Do: Guidehouse has an exciting opportunity for a Microsoft Dynamics Architect to support our client's Case Management system. As an Architect, you will work with the technical team to design and deliver the case management solution within a given time, identify risks and mitigate the risk during the design phase. You will be responsible for high-quality projects. You will work with the client, PM, and BA and streamline the communication between teams. Key Responsibilities: * Gather technical requirements and propose solutions based on client’s architectural and business needs * Drive Dynamics CRM implementations through all project phases, including discovery, definition, build, test, and deploy * Lead data-centric discussions with the client through discovery meetings. * Translate concepts into user flows, wireframes, system diagrams, and prototypes * Develop integrations and customizations to Dynamics CRM * Design and lead the system architecture process to create, define specifications for, and implement customizations for any custom code or data migration requirements * Present tailored demonstrations of the technology solution * Work with technology and business groups to define project specifications * Develop technical solution designs and implementation plans and take full ownership of the Dynamics 365 solution * Interact with both prospective and current customers during product demos/evaluations * Enhance efficiency of development, testing and release process; develop tools and frameworks to ensure robust and high-quality delivery of Dynamics 365 Implementations * Document technical risks and issues, and actively work to avoid, mitigate, resolve risks and technical debt * Relay of the solution design to the development team and provide technical guidance during development of the solution to the development team. * Travel to multiple customer locations for demos and meetings when required What You Will Need: * US Citizenship is contractually required for this role * Minimum degree: US equivalent Bachelor's Degree * Minimum of Eight (8) years of professional experience * Minimum of Five (5) years of experience implementing and managing CRM solutions at an enterprise level (Microsoft Dynamics CRM / Dynamics 365) * Selected candidate must be able to work in a hybrid environment * Evaluate, design, and implement Microsoft Dynamics 365 business solutions, often working on-site to help customers deploy their solutions * Experience translating technical information in to easy-to-understand business concepts * Exceptional analytical and problem-solving skills * Great interpersonal skills and can be collaborative * Experience developing & deploying business applications using Microsoft’s Dynamics Power Platform * Core Skills: C#, SQL, .Net, D365, CRM SDK, CRM Plugins, PowerApps, Power BI, & Power Automate (formally known as Flow) * Must have experience with full life-cycle implementation of Dynamics 365 What Would Be Nice To Have: * Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired * BA/BS degree in Business, Computer Science or Engineering * Experience with public sector clients preferred * Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Senior Tech Audit Manager - Global Payment Network Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit's vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. Capital One is seeking an energetic, self-motivated Technology Senior Manager with experience evaluating and analyzing technology and cybersecurity risks interested in becoming part of our Audit team. As a member of the Tech Audit team, the candidate will focus on integrated audits and audits of critical technology functions including supporting payment networks, cloud-based technology implementations, application controls, and cybersecurity risks. Responsibilities: * Execute major components of audits, including critical technology functions, cloud-based infrastructure, emerging technology, cybersecurity, risk management, application, and third-party management, as well as lead small to medium size audits including integrated audits. * Perform risk assessments of business units and technology operations, design and execute audit procedures to verify the effectiveness of existing controls, identify and define issues, review and analyze evidence, and document client processes and procedures. * Understand the broader context and implications (e.g., financial, legal, reputational, etc.) of the various types of risk affecting the business and critical technology functions . * Establishes and maintains good client relations during engagements. Communicates or assists in communicating the results of some audit projects to management via written reports and oral presentations. * Identify expectations of the client and take actions to support the client experience. * Prepare clear, organized and complete documentation to support work performed. * Self prioritize and effectively plan own work activities managing multiple priorities and tasks across the team to deliver quality results. * Coordinate with others and proactively take on additional work. * Deliver appropriate, succinct and organized information, tailoring communication style to audience. * Effectively communicate information, issues and audit progress to teammates, clients and auditor-in-charge. * Perform various aspects of engagement administration, including hours and budget tracking. * Provide periodic on-the-job coaching and direct supervision over less experienced associates. Ideal Teammate: * You are a critical thinker who seeks to understand the business and its control environment. * You believe insight and objectivity are core elements to providing assurance on the effectiveness and efficiency of Capital One’s governance, risk management, and internal control processes. * You possess a relentless focus on quality and timeliness. * You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking. * You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition. * You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise. * You're a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism. * You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent. Basic Qualifications: * Bachelor’s Degree or military experience * At least 7 years of experience in information technology (operations, software delivery, access management, microservices), information security (application security, network security, cyber security, data protection), information systems risk management, information systems auditing, or a combination within the banking or financial services industry * At least 4 years of experience leading a team to deliver initiatives, collection of work or a combination * At least 4 years of experience in managing audit engagements, project management or a combination * At least 4 years of experience in analyzing data extracts to identify trends, patterns, and anomalies, including 1 year of experience in test scripting or coding (writing, reviewing, or assessing) * At least 2 years of experience in cloud computing and controls (design, operation, risk management, or auditing) * At least 2 years experience of people management Preferred Qualifications: * Certifications related to or pursuing certification related to Cloud, Cyber or Technology Operations, such as Cloud provider certifications, Certified Information Systems Security Professional (CISSP), or Certified Information Security Manager (CISM), * Certifications related to or pursuing certification related to Auditing, such as Certified Internal Auditor (CIA), or Certified Information Systems Auditor (CISA) * 7+ years of experience with IT control frameworks * 2+ years of experience in planning and leading audits * 2+ years of experience auditing cyber or information security * 2+ years of experience auditing emerging technologies * 4+ years experience in cloud computing (AWS, GCP, Azure) and controls, or 1+ years of conducting audits of controls in cloud-based environments * 4+ years of experience in risk and data management * 4+ years of experience performing data analysis in support of internal auditing * 2+ years of experience with payment technologies such as HPE Nonstop, IBM Mainframe, Mobile Payments, Tokenized services, cloud-based and virtualized environments, Windows and Linux operating environments. * 2 years of experience in the payments network industry including the MANIC (Merchant-Acquirer-Network-Issuer-Customer) model, network participant roles (issuers, acquirers, merchants), PCI standards, and international payment regulations At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates will spend 3 days per week in-person at one of our offices listed on this job posting. Fridays are enterprise- wide virtual work days. Monday, Tuesday, Wednesday and Thursday are in-person days for associates to spend time together working in our beautifully-designed team areas. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Chicago, IL: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis McLean, VA: $193,000 - $220,300 for Sr. Manager, Cyber Risk & Analysis New York, NY: $210,500 - $240,300 for Sr. Manager, Cyber Risk & Analysis Plano, TX: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Richmond, VA: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Riverwoods, IL: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Audit- Global Payment Network Overview: Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit’s vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. Inspired by our colleagues, we are risk identifiers, challengers, influencers, and transformational leaders who drive impactful work for the enterprise. We are seeking an energetic, self-motivated Director interested in becoming part of our Audit team, with a specific focus on global payment network, their associated platforms, technologies, and related operations such as credit/debit processing, authorization, clearing & settlement (covering domestic and international transactions) and digital payments. We are seeking an experienced candidate that has demonstrated knowledge of payment network technology, operations and ecosystem related risks, as well as risk management and regulatory expectations for a large financial institution. Responsibilities: * Develop the strategic coverage approach for the relevant audit universe, including proactive monitoring for changing risks and necessary coverage approach changes. Lead continuous monitoring activities and updates to risk assessments, audit universe, and audit plan for relevant entities. * Establish and maintain good relationships with key business leaders and audit partners. Leverage specialized knowledge and skills, providing management with insight into their area of subject-matter focus, building trust and mutual respect. Effectively represent internal audit at management meetings, internal forums, regulatory update meetings as well as to external organizations. * Identify emerging risks and trends in areas of focus related to global payments networks and take opportunities to present them to internal and stakeholder management. * Direct audits and project audits across the portfolio, including supervising audit teams and engagement managers, and coordinating with support Audit specialist teams. * Review engagement planning documentation and audit programs to ensure adequate coverage of risk and sufficient rationale for audit scope. Maintains close control over budget, schedule and quality. * Effectively review and compile relevant, material findings and recommendations into readable and concise audit reports. Communicate complex results and implications, incorporating different perspectives into deliverables. * Assess relevance of audit findings, potential exposures, materiality, improving or deteriorating trends, and demonstrate awareness of big picture issues. Interpret business priorities, anticipate issues and obstacles, and apply to scope of role. * Provide timely feedback, on-the-job training and coaching to audit staff and direct reports. Help team members grow their careers. Maintain an open, inclusive and trusting team environment. * Participate in due diligence projects on behalf of Audit as well as lead Initial Control Reviews resulting from signed due diligence deals for the business. * Deliver appropriate, succinct and organized information, tailoring communication style to audience. * Manage timely and quality delivery of multiple tasks, including audits, projects, issue and regulatory commitment follow up, special assignments, and administrative activities. Self-prioritize and independently complete multiple tasks across the team and department. Demonstrate the ability to successfully meet deadlines. Here’s what we’re looking for in an ideal leader: * You are a critical thinker who seeks to understand the business and its control environment. * Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. * You believe insight and objectivity are core elements to providing assurance on the effectiveness and efficiency of Capital One’s governance, risk management, and internal control processes. * You possess a relentless focus on quality and timeliness. * You prioritize achievement of the team’s collective goals. * You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking. * You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition. * You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise. * You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism. * You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent. Travel Expectations: The associate will be expected to travel an average of 10-15% of the time. This role is hybrid meaning associates will spend 3 days per week in-person at one of our offices listed on this job posting. Basic Qualifications: * Bachelor’s Degree or military experience * At least 10 years of experience in internal or external auditing, accounting, financial analysis, information systems, compliance, risk management or a combination within the banking or financial services industry * At least 5 years of people management experience * At least 3 years of experience managing audit engagements Preferred Qualifications: * Master’s Degree in Information Systems, Accounting, Finance, Economics, or Business Administration * 5+ years of experience leading audits and performing the auditor-in-charge role * 5+ years of experience in the payments network industry including the MANIC (Merchant-Acquirer-Network-Issuer-Customer) model, network participant roles (issuers, acquirers, merchants), PCI standards, and international payment regulations * 2+ years of experience with payment technologies such as HPE Nonstop, IBM Mainframe, Mobile Payments, Tokenized services, cloud-based and virtualized environments, Windows and Linux operating environments. * 2+ years of experience at a leading public accounting or consulting firm, working in a highly regulated environment related to payment network and related technology services, leading people in cross-cultural/international teams or related experience. * Professional certification such as Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Public Accountant (CPA) or Certified Internal Auditor (CIA) At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $239,900 - $273,800 for Director, Cyber Technical Chicago, IL: $239,900 - $273,800 for Director, Cyber Technical McLean, VA: $263,900 - $301,200 for Director, Cyber Technical New York, NY: $287,800 - $328,500 for Director, Cyber Technical Plano, TX: $239,900 - $273,800 for Director, Cyber Technical Richmond, VA: $239,900 - $273,800 for Director, Cyber Technical Riverwoods, IL: $239,900 - $273,800 for Director, Cyber Technical Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Audit Manager - Global Payment Network Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit’s vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. Inspired by our colleagues, we are risk identifiers, challengers, influencers, and transformational leaders who drive impactful work for the enterprise. Capital One is seeking an energetic, self-motivated Audit Manager interested in becoming part of our Audit team, with a specific focus on the global payments network, all associated platforms, technologies, and related operations such as(e.g., credit/debit processing, authorization, clearing & settlement (covering domestic and international transactions) and digital payments. We are seeking a candidate that has demonstrated knowledge of payments network operations and ecosystem related risks, as well as risk management and regulatory expectations for a large financial institution. Responsibilities include: * Plan, perform, and lead large/complex audits at the enterprise level as well as other diverse lines of business and specialty areas. * Perform risk assessments of business activities, potential exposures and materiality of loss. * Design and perform audit procedures, including identifying and defining issues, reviewing and analyzing evidence, and documenting processes. * Leverage available data and analytical tools during the planning, fieldwork, and reporting phases of audit delivery. * Effectively review and compile relevant, material findings and recommendations into readable and concise audit reports. * Communicate the results of audit projects to management via written reports and compelling oral presentations. * Provide significant input into the development of the annual audit plan. * Design and execute internal control testing for standardized operations of moderate complexity with more than one component, including finance, IT, compliance, credit, security. * Provide risk management advice and counsel to business leadership on best practices. * Establish and maintain good working relationships with line management and auditees during engagements. * Manage audit work and project resources during audit engagements, providing feedback on work performed to junior auditors, as appropriate. Here’s what we’re looking for in an ideal teammate: * You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking. * You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition. * You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise. * You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism. * You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent. Basic Qualifications: * Bachelor’s Degree or military experience * At least 5 years of experience in internal or external auditing, accounting, financial analysis, information systems, compliance, risk management or a combination within the banking or financial services industry Preferred Qualifications: * Bachelor’s Degree in Information Systems, Accounting, Finance, Economics, or Business Administration * 3+ years of experience leading audits and performing the auditor-in-charge role * 2+ years of experience with payment technologies such as HPE Nonstop, IBM Mainframe, Mobile Payments, Tokenized services, cloud-based and virtualized environments, Windows and Linux operating environments * 2+ years of experience in the payments network industry including the MANIC (Merchant-Acquirer-Network-Issuer-Customer) model, network participant roles (issuers, acquirers, merchants), PCI standards, and international payment regulations * 2+ years of experience at a leading public accounting or consulting firm, working in a highly regulated environment related to payment network and related technology services, leading people in cross-cultural/international teams or related experience * Professional certification such as Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Public Accountant (CPA) or Certified Internal Auditor (CIA) At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates will spend 3 days per week in-person at one of our offices listed on this job posting. Fridays are enterprise- wide virtual work days. Monday, Tuesday, Wednesday and Thursday are in-person days for associates to spend time together working in our beautifully-designed team areas. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Chicago, IL: $144,000 - $164,400 for Manager, Cyber Risk & Analysis McLean, VA: $158,400 - $180,800 for Manager, Cyber Risk & Analysis New York, NY: $172,800 - $197,200 for Manager, Cyber Risk & Analysis Plano, TX: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Richmond, VA: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Riverwoods, IL: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, AI Engineering (People Leader) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. * Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Jose, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, AI Engineering (People Leader) (GenAI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. * Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Auditor (Experienced Senior Auditor), Global Payment Network (Hybrid) Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit’s vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. Inspired by our colleagues, we are risk identifiers, challengers, influencers, and transformational leaders who drive impactful work for the enterprise. Capital One is seeking an energetic, self-motivated Principal Auditor interested in becoming part of our Audit team, with a specific focus on the Capital One’s Global Payment Network, platforms, technologies, and related operations (e.g., credit/debit processing, digital payments, acquiring, servicing domestic/abroad, settlement operations). We are seeking a candidate that has demonstrated knowledge of payments network operations and ecosystem related risks, as well as risk management and regulatory expectations for a large financial institution. This role will be hired as a Capital One associate with a near-term focus on audit execution and delivery for Discover Financial Services as part of our integration effort. Responsibilities include: * Plan, perform, and lead large/complex audits at the enterprise level as well as other diverse lines of business and specialty areas. * Perform risk assessments of business activities, potential exposures and materiality of loss. * Design and perform audit procedures, including identifying and defining issues, reviewing and analyzing evidence, and documenting processes. * Leverage available data and analytical tools during the planning, fieldwork, and reporting phases of audit delivery. * Effectively review and compile relevant, material findings and recommendations into readable and concise audit reports. * Communicate the results of audit projects to management via written reports and compelling oral presentations. * Provide significant input into the development of the annual audit plan. * Design and execute internal control testing for standardized operations of moderate complexity with more than one component, including finance, IT, compliance, credit, security. * Provide risk management advice and counsel to business leadership on best practices. * Establish and maintain good working relationships with line management and auditees during engagements. * Manage audit work and project resources during audit engagements, providing feedback on work performed to junior auditors, as appropriate. Here’s what we’re looking for in an ideal teammate: * You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking. * You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition. * You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise. * You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism. * You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent. Travel Expectations: The associate will be expected to travel an average of 10-15% of the time. Basic Qualifications: * Bachelor’s Degree or military experience * At least 3 years of experience in internal or external auditing, accounting, financial analysis, information systems, compliance, risk management or a combination * At least 3 years of experience in global payment network operations and banking or financial services, or a combination Preferred Qualifications: * Bachelor’s Degree in Accounting, Finance, Economics, Business Administration, or Information Systems * 2+ years of experience leading audits and performing the auditor-in-charge role * Professional certification such as Certified Public Accountant (CPA), Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certified Risk Manager (CRM) * 1+ years of experience performing data analysis in support of internal auditing At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates typically spend 3 days per week in-person at one of our offices listed on this job posting. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $115,900 - $132,200 for Prin Assoc, Cyber Risk & Analysis Chicago, IL: $115,900 - $132,200 for Prin Assoc, Cyber Risk & Analysis McLean, VA: $127,500 - $145,500 for Prin Assoc, Cyber Risk & Analysis New York, NY: $139,100 - $158,700 for Prin Assoc, Cyber Risk & Analysis Plano, TX: $115,900 - $132,200 for Prin Assoc, Cyber Risk & Analysis Riverwoods, IL: $115,900 - $132,200 for Prin Assoc, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Tech Audit Manager - Global Payment Network Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit's vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. We are seeking an energetic, self-motivated Manager interested in becoming part of our Audit team, with a specific focus on assessing core technology and cybersecurity risks associated with global payment networks, their associated platforms, technologies, and related operations such as credit/debit processing, authorization, clearing & settlement (covering domestic and international transactions) and digital payments. We are seeking an experienced candidate that has demonstrated knowledge of payment network technology, operations and ecosystem related risks, as well as risk management and regulatory expectations for a large financial institution. Responsibilities: * Execute major components of audits, including critical technology functions, technology infrastructure and resiliency, emerging technology, cybersecurity, risk management, application, and third-party management, as well as lead small to medium size audits. * Perform risk assessments of technology and cybersecurity areas that support the global payments network business unit, design and execute audit procedures to verify the effectiveness of existing controls, identify and define issues, review and analyze evidence, and document auditee processes and procedures. * Understand the broader context and implications (e.g., financial, legal, reputational, etc.) of the various types of risk affecting the business and critical technology functions . * Establish and maintain good client relations during engagements. Communicate or assist in communicating the results of some audit projects to management via written reports and oral presentations. * Review and provide feedback on audit workpapers to achieve clear, organized and complete documentation to support work performed. * Self prioritize and effectively plan own work activities managing multiple priorities and tasks across the team to deliver quality results. * Coordinate with others and proactively take on additional work. * Deliver appropriate, succinct and organized information, tailoring communication style to audience. * Effectively communicate information, issues and audit progress to teammates and audit leaders. * Perform various aspects of engagement administration, including hours and budget tracking. * Provide periodic on-the-job coaching and direct supervision over less experienced associates. Ideal Teammate: * You are a critical thinker who seeks to understand the business and its control environment. * You believe insight and objectivity are core elements to providing assurance on the effectiveness and efficiency of Capital One’s governance, risk management, and internal control processes. * You possess a relentless focus on quality and timeliness. * You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking. * You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition. * You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise. * You're a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism. * You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent. Basic Qualifications: * Bachelor’s Degree or military experience * At least 5 years of experience in internal or external auditing, accounting, financial analysis, information systems, compliance, risk management or a combination within the banking or financial services industry Preferred Qualifications: * Bachelor’s Degree in Information Systems, Accounting, Finance, Economics, or Business Administration * 3+ years of experience leading audits and performing the auditor-in-charge role * 2+ years of experience with payment technologies such as HPE Nonstop, IBM Mainframe, Mobile Payments, Tokenized services, cloud-based and virtualized environments, Windows and Linux operating environments * 2+ years of experience in the payments network industry including the MANIC (Merchant-Acquirer-Network-Issuer-Customer) model, network participant roles (issuers, acquirers, merchants), PCI standards, and international payment regulations * 2+ years of experience at a leading public accounting or consulting firm, working in a highly regulated environment related to payment network and related technology services, leading people in cross-cultural/international teams or related experience * Professional certification such as Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Public Accountant (CPA) or Certified Internal Auditor (CIA) At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates will spend 3 days per week in-person at one of our offices listed on this job posting. Fridays are enterprise- wide virtual work days. Monday, Tuesday, Wednesday and Thursday are in-person days for associates to spend time together working in our beautifully-designed team areas. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Chicago, IL: $144,000 - $164,400 for Manager, Cyber Risk & Analysis McLean, VA: $158,400 - $180,800 for Manager, Cyber Risk & Analysis New York, NY: $172,800 - $197,200 for Manager, Cyber Risk & Analysis Plano, TX: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Richmond, VA: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Riverwoods, IL: $144,000 - $164,400 for Manager, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Overview SP+, a Metropolis company, is an artificial intelligence company for the real world. We use computer vision to enable checkout-free parking experiences. So there’s no fumbling with tickets, machines, apps, or credit cards. You just “drive in and drive out.” We are the largest parking network in America, with over 23,000 employees powering mobility at over 4,000 locations across North America and Europe. Today, we are reinventing parking. Because it’s important, it's everywhere and impacts everyone. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Responsibilities If you are driven to succeed, you should join SP+. We are looking for safe Valet drivers with warm smiles who enjoy interacting with people. Work with our knowledgeable and caring team members who want to see you succeed, many of whom also started as valets. A job as a Valet could be the first step in your career. Come pave the way with SP+, a company driven by its three core values: Ingenuity, Diversity and Integrity. What you’ll do • Deliver on our Promise by ensuring every moment matters for our clients through resolving client requests and concerns efficiently, finding new ways to solve problems that may arise, and communicating proactively with clients., • Inspect every vehicle before safely parking it, noting all findings., • Explain valet rates to customers., • Observe traffic laws and safe driving practices., • Report all accidents, safety hazards, unusual occurrences, and policy violations to management., • Know the area's major streets, landmarks, and freeways to ensure customers have a seamless transportation experience., • Come to work in your clean uniform every scheduled shift, on time, and ready to work., • Remain in complete uniform for the entirety of your shift., • Assist management with additional duties as assigned. Qualifications Salary Range: $16.00 To $17.00/hr This role is eligible to earn tips in addition to the posted hourly rate. Benefits: Eligible employees will participate in the various benefits plans including medical, dental, vision, flexible spending accounts, long/short term disability, life insurance, accident insurance, 401k and paid time off. What you need • A valid state driver’s license, current address, and acceptable driving record., • The ability to safely drive a vehicle with a manual transmission (stick shift) is a plus., • Availability to work special shifts if needed (2nd, 3rd shift and/or weekends)., • Proof of eligibility to work legally in the U.S. (must provide valid documentation if hired)., • The ability to provide accurate information to customers and co-workers and respond professionally to customer problems or complaints., • The ability to read, write, add, and subtract US currency and comprehend instructions, short emails, and memos. While performing the duties of this job, the employee is regularly required to stand; walk; and use hands to handle cash and equipment. The employee is occasionally required to sit and climb or balance. The employee must occasionally lift and/or move up to 25 pounds. SP+ is an equal opportunity employer committed in policy and practice to recruit, hire, train, and promote, in all job classifications, without regard to race, color, ancestry, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, veteran status, gender identity, disability or other classes protected by federal or state law. SP+ does not tolerate harassment or retaliation against any employee or applicant based on these characteristics or because the individual exercised their EEO rights. Right to Work Poster SP+, a Metropolis Company, may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, SP+ retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. If you are an applicant to a New York City job posting and wish to request an alternative selection process accommodation or have questions about our data retention policy, please contact . We are here to assist you.

Job Description Overview SP+, a Metropolis company, is an artificial intelligence company for the real world. We use computer vision to enable checkout-free parking experiences. So there’s no fumbling with tickets, machines, apps, or credit cards. You just “drive in and drive out.” We are the largest parking network in America, with over 23,000 employees powering mobility at over 4,000 locations across North America and Europe. Today, we are reinventing parking. Because it’s important, it's everywhere and impacts everyone. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Responsibilities BASIC FUNCTION As a Valet Dispatcher, you will be responsible for coordinating the parking and retrieving of guest vehicles by Valet Attendants, while securing and keeping track of all vehicle keys. Responsibilities include but are not limited to the following: • Ensure the timely dispatching of Valet Attendants to park and retrieve guest vehicles, • Monitor the amount of time guests wait for their vehicle to ensure it meets the property’s service standard, • Assist with the safe moving of guest vehicles in the garage and the guest areas, on an as needed basis, • Secure and keep track of all guest vehicle keys, • Accept and process valet fees (if applicable), • Answer the telephone using proper telephone etiquette, • Inform customers of valet rates, as well as possess a thorough knowledge of the major streets, landmarks and freeways in the area of the lot to be able to provide customer directions to customers to various locations in the area, if needed, • Respond to customer questions/issues in a prompt and courteous manner, • Report any known accidents, observed or suspected violations of Company policy, safety hazards or any unusual occurrence to Supervisors, Facility Manager and/or Senior Manager, • Assist the Ramp Supervisor in maintaining a clear ramp area by sending runners to the front door, • Help maintain the cleanliness of the area around garage office, • Be on time for every scheduled work day, • Maintain a neat and clean appearance and arrive and remain in complete uniform before and during scheduled shifts, • Assist Supervisors and Managers with additional duties, as assigned Qualifications Qualification Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Education/Experience Required: Less than High School education or one month related experience, training or an equivalent combination of education and experience. Prior valet driving experience preferred. License Requirement: The employee will be required to have and maintain a valid state driver’s license with a current address and acceptable driving record. Ability to drive a vehicle with a manual transmission (stick shift) a plus. Availability to Work: Special shift requirements, if any, will vary depending on a location's hiring needs. If applicable, availability to work 2nd shift, 3rd shift and/or week-ends may be required. Language Skills: Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one situations to customers and other employees of the company. Customer Service Skills: Ability to effectively respond positively to customer problems or complaints. Mathematical Skills: Ability to add, subtract, two digit numbers and multiply and divide with 10’s and 100’s. Ability to perform these operations using units of American money. Appearance: Employees will be required to maintain a neat and clean appearance and be in complete uniform at all times. Other skills and abilities: Ability to use clock (standard/military time), calculator (optional) or credit card machine to handle transactions, if applicable to your location. Ability to maintain a pleasant and mannerly demeanor when speaking on the telephone and with the public. Ability to effectively respond to customer problems or complaints. Other Attributes: Ability to apply common sense understanding to carry out detailed but standard written or oral instructions. Ability to adapt to changes in the work environment; able to deal with change, delays or unexpected events. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to change frequently between a sitting and standing position. The employee is required to use a phone or two-way radio. Salary Range: $16.50/hr +Tips This role is eligible to earn tips in addition to the posted hourly rate. Benefits: Eligible employees will participate in the various benefits plans including medical, dental, vision, flexible spending accounts, long/short term disability, life insurance, accident insurance, 401k and paid time off. SP+ is an equal opportunity employer committed in policy and practice to recruit, hire, train, and promote, in all job classifications, without regard to race, color, ancestry, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, veteran status, gender identity, disability or other classes protected by federal or state law. SP+ does not tolerate harassment or retaliation against any employee or applicant based on these characteristics or because the individual exercised their EEO rights. Right to Work Poster SP+, a Metropolis Company, may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, SP+ retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. If you are an applicant to a New York City job posting and wish to request an alternative selection process accommodation or have questions about our data retention policy, please contact . We are here to assist you.

Job Description Overview SP+, a Metropolis company, is an artificial intelligence company for the real world. We use computer vision to enable checkout-free parking experiences. So there’s no fumbling with tickets, machines, apps, or credit cards. You just “drive in and drive out.” We are the largest parking network in America, with over 23,000 employees powering mobility at over 4,000 locations across North America and Europe. Today, we are reinventing parking. Because it’s important, it's everywhere and impacts everyone. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Responsibilities Basic Function - Ensure that appropriate number of cars is kept on location throughout shift, cars are being parked in an appropriate fashion and the lot is kept clean and presentable. • Direct incoming customers to available parking spaces., • Count vehicles on location throughout shift, as needed., • Write and issue violation warnings to tenants and visitors that violate garage policies., • Patrol transient and reserved parking levels on foot or in customized motor carts, if applicable., • Provide assistance to customers that have forgotten where they parked their vehicle., • Responsible for being at work every scheduled day, on time and in uniform., • Courteously assist Customers by answering any questions they may have. If necessary, direct the Customer to the Facility Manager for further assistance., • Control traffic at entrances and exits as needed., • Assist in the maintenance and repair of parking equipment and any general maintenance tasks as directed by the Facility Manager., • Report any known accidents, observed or suspected violations of Company policy, safety hazards or any unusual occurrence to the Facility Manager., • Communicate debris, water, oil spills and etc. to garage office., • Substitute for Valets when necessary, if authorized., • Have a thorough knowledge of all areas of the garage, thorough knowledge of the major streets, landmarks and freeways in the area of the garage., • Assist Facility Manager with other duties as needed. Qualifications Qualification Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience Required: Less than High School education or one month related experience, training or an equivalent combination of education and experience. License Requirement: The individual will only be required to have and maintain a valid state-issued driver’s license, with a current address and acceptable driving record, if the individual is expected to be able to drive a company vehicle or drive on company business. Availability to Work: Special shift requirements, if any, will vary depending on a location's hiring needs. If applicable, availability to work 2nd shift, 3rd shift and/or week-ends may be required. Language Skills: Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one situations to customers and other employees of the company. Mathematical Skills: Ability to add, subtract, two digit numbers and multiply and divide with 10’s and 100’s. Ability to perform these operations using units of American money. Appearance: Employees will be required to maintain a neat and clean appearance and be in complete uniform at all times. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; walk; and use hands to handle cash and equipment. The employee is occasionally required to sit and climb or balance. The employee must occasionally lift and/or move up to 25 pounds. Salary Wage: $16.50 per hour Benefits: Eligible employees will participate in the various benefits plans including medical, dental, vision, flexible spending accounts, long/short term disability, life insurance, accident insurance, 401k and paid time off. SP+ is an equal opportunity employer committed in policy and practice to recruit, hire, train, and promote, in all job classifications, without regard to race, color, ancestry, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, veteran status, gender identity, disability or other classes protected by federal or state law. SP+ does not tolerate harassment or retaliation against any employee or applicant based on these characteristics or because the individual exercised their EEO rights. Right to Work Poster SP+, a Metropolis Company, may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, SP+ retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. If you are an applicant to a New York City job posting and wish to request an alternative selection process accommodation or have questions about our data retention policy, please contact . We are here to assist you.

Job Description Since its inception, The Parking Spot has made superior airport parking experiences easy and affordable by focusing on hospitality. Now with more than 25 years in business, The Parking Spot has cemented itself as the leading near-airport Parking Company with 40+ locations at 28 airports, over 2,000 employees nationwide and 2 incredibly strong brands – The Parking Spot and Park ‘N Fly by The Parking Spot. Our Valets play an important role in our operation; providing valet parking services and personal attention to guests and their vehicles. If you share our values for team, people, and service, we encourage you to apply with us today! Pay Rate: $16 / hour (plus tips) with regular bonus opportunities Weekly Schedule: • Full Time and Part Time schedules available, • Schedules:, • OVERNIGHT (11pm to 7am / 10pm to 6am), • Participation in and financial benefit from our shared employee ownership program, • Immediate conditional job offer after successful interview and background check, • Great tips and regular bonus opportunities for those who are eligible, • Consistent schedules, • For those who are eligible to enroll: Medical, Vision, Dental, Life Insurance, EAP and 401(k) plan benefits, • For those who are eligible: Paid Time Off, Vacation Pay, and Paid Holidays, • Greet each customer in a friendly and professional manner, • Accurately and promptly process valet tickets, • Operate, park, and retrieve guests’ vehicles in a safe and efficient manner, • Perform inventory of valet-parked vehicles and available spaces, • Cooperate with all team members to provide the best possible service, • Report any damage to vehicles or property immediately, • High school education or equivalent, • Previous valet, attendant, and/or customer service experience preferred, • Ability to operate a manual transmission, • Ability to lift up to 50 lbs., • Valid driver’s license is required at all times, • Clean driving record, • Ability to communicate (verbally and written) in the English language At The Parking Spot, we don’t just accept difference - we celebrate and seek it. We believe a diverse, inclusive, and equitable company is one where all employees, partners, and customers are welcome, supported, and valued. As a company in the travel industry, we witness the power of bringing individuals from different backgrounds and communities together. We treat all others with dignity and respect and stand firmly against racism and discrimination in any form. We intentionally develop diverse teams and relationships to ensure all voices are heard and to foster equal opportunity for all. We are committed to listening, learning, and growing because we know that our work is never done.

Job Description Overview SP+, a Metropolis company, is an artificial intelligence company for the real world. We use computer vision to enable checkout-free parking experiences. So there’s no fumbling with tickets, machines, apps, or credit cards. You just “drive in and drive out.” We are the largest parking network in America, with over 23,000 employees powering mobility at over 4,000 locations across North America and Europe. Today, we are reinventing parking. Because it’s important, it's everywhere and impacts everyone. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Responsibilities If you are driven to succeed, you should join SP+. We are looking for safe Valet drivers with warm smiles who enjoy interacting with people. Work with our knowledgeable and caring team members who want to see you succeed, many of whom also started as valets. A job as a Valet could be the first step in your career. Come pave the way with SP+, a company driven by its three core values: Ingenuity, Diversity and Integrity. What you’ll do • Deliver on our Promise by ensuring every moment matters for our clients through resolving client requests and concerns efficiently, finding new ways to solve problems that may arise, and communicating proactively with clients., • Inspect every vehicle before safely parking it, noting all findings., • Explain valet rates to customers., • Observe traffic laws and safe driving practices., • Report all accidents, safety hazards, unusual occurrences, and policy violations to management., • Know the area's major streets, landmarks, and freeways to ensure customers have a seamless transportation experience., • Come to work in your clean uniform every scheduled shift, on time, and ready to work., • Remain in complete uniform for the entirety of your shift., • Assist management with additional duties as assigned. Qualifications This location requires employees to be vaccinated against COVID-19 as a condition of employment, subject to any valid medical or religious accommodation. What you need • A valid state driver’s license, current address, and acceptable driving record., • The ability to safely drive a vehicle with a manual transmission (stick shift) is a plus., • Availability to work special shifts if needed (2nd, 3rd shift and/or weekends)., • Proof of eligibility to work legally in the U.S. (must provide valid documentation if hired)., • The ability to provide accurate information to customers and co-workers and respond professionally to customer problems or complaints., • The ability to read, write, add, and subtract US currency and comprehend instructions, short emails, and memos. While performing the duties of this job, the employee is regularly required to stand; walk; and use hands to handle cash and equipment. The employee is occasionally required to sit and climb or balance. The employee must occasionally lift and/or move up to 25 pounds. Salary Wage: $16.50 per hour +Tips Benefits: Eligible employees will participate in the various benefits plans including medical, dental, vision, flexible spending accounts, long/short term disability, life insurance, accident insurance, 401k and paid time off. SP+ is an equal opportunity employer committed in policy and practice to recruit, hire, train, and promote, in all job classifications, without regard to race, color, ancestry, religion, sex, age, national origin, citizenship status, marital status, sexual orientation, veteran status, gender identity, disability or other classes protected by federal or state law. SP+ does not tolerate harassment or retaliation against any employee or applicant based on these characteristics or because the individual exercised their EEO rights. Right to Work Poster SP+, a Metropolis Company, may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, SP+ retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. If you are an applicant to a New York City job posting and wish to request an alternative selection process accommodation or have questions about our data retention policy, please contact . We are here to assist you.

Lead AI Engineer (AI Foundations, LLM Core, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

OVERVIEW: Experience a place of energy, passion, and excitement. A place where the joy of discovery and uncommon artistry blend to create exhilarating buying experiences—for true beauty enthusiasts. At Ulta Beauty, we’re transforming the world one shade, one lash, one cut at a time. Because beauty is powerful. If you seek greater purpose—a place of vision, mission, and lived values—where voices are heard, contributions valued and recognized and growth opportunities abound, consider Ulta Beauty. Nowhere else are the possibilities quite this beautiful. : GENERAL SUMMARY & SCOPE The Co-Manager (CM) is responsible for leading through Ulta Beauty’s mission, vision, and values in order to develop a high-performing team that consistently delivers top-line sales growth for the store. The CM leads the Operations Manager (OM) and is accountable for all operational aspects of a single retail store. This position provides a developmental experience for leaders who demonstrate potential to do more. This leader drives their store’s business through a focus on performance (sales, service, and expense control), people (talent acquisition, training, and development), and process (operating procedures and compliance standards). This position requires a passion for process excellence, a drive for results, and the ability to lead, influence, and develop their team. PRINCIPAL DUTIES & RESPONSIBILITIES (*Essential Job Functions) The CM is a champion of Ulta Beauty’s mission, vision, and values, and should demonstrate them skillfully and consistently by performing the following duties and responsibilities of the position (as well as all other projects/duties as assigned): Performance • Promote a culture of accountability to meet or exceed the store’s goals related to retail and service sales, guest loyalty (including credit), payroll, omni-channel, and retail shrink as set by Ulta Beauty for the store., • Drive company profitability through operational excellence, top-line sales growth, and expense control., • Leverage store forecast and payroll budgets to support with store scheduling needs and communicate the needs to the GM to maximize productivity, achieve sales and payroll goals, and complete workload (e.g., shipment, replenishment, cycle counts, Destroy In Fields (DIFs), Return to Vendors (RTVs), planograms, inventory, and ad set processes) on time, and within payroll budget., • Review, analyze, and react to Ulta Beauty’s financial and operational reporting, including store visit and audit results, regularly and in a timely manner., • Leverage company programs, tools, and resources to drive improvements to meet Ulta Beauty’s goals for the store., • Perform makeup applications, skincare analysis, and product demonstrations with guests to drive sales and guest service experience., • Take the initiative to stay informed regarding new and existing industry trends, products, and services during work time and be knowledgeable about the ingredients and benefits of these trends, products, and services to better serve guests., • Maintain prompt, regular attendance as the CM and hold store associates accountable to the Ulta Beauty attendance policy. People • Attract, hire, and retain a diverse team of top talent, and efficiently address any staffing needs and open positions for the store., • Build a highly engaged team at the store that embodies the Ulta Beauty brand through effective collaboration, open and honest communication, and prioritization of work., • Create an inclusive environment that inspires and encourages the growth and engagement of associates., • Support all aspects of manager and associate professional development, including training, providing individualized competency-based feedback and coaching, performance reviews, succession planning, and individual development plans to enable continuous development and drive sales performance., • Regularly participate in ongoing training, including brand and category education, to enable continuous professional development and drive sales performance., • Ensure direct reports regularly participate in ongoing training, including brand and category education, to enable continuous professional development and drive sales performance., • Model a culture of teamwork and operational excellence by working alongside the leadership team, establishing priorities, providing clear direction and support, and sharing best practices., • Execute the Guest Engagement Leader program flawlessly through business ownership, associate coaching, and leading a helpful and friendly guest experience to drive business results across all Annual Performance Goals (APGs) metrics for the store. Process • Be knowledgeable of and ensure compliance with Ulta Beauty policies, procedures, and standards., • Adhere to and enforce Ulta Beauty’s dress code., • Ensure the execution of all operational focuses, inclusive of the inventory life-cycle related processes (e.g., truck, shipment, cycle counts, inventory, damages, testers, and Return to Vendors) as well as ad set and planogram processes., • Use the company’s scheduling tool as directed to schedule the right associates, in the right places, at the right times in order to provide an exceptional guest experience, reduce loss, and execute company directives., • Use the company’s task management tool as directed to prioritize the execution of store workload, ensuring full leadership adoption and compliance with company policy., • Protect company assets and minimize loss by ensuring all store standards and operating procedures are met, including workplace safety, inventory control, cash management, and loss prevention., • Execute day-to-day inventory control processes (e.g., known theft, damages, hazardous waste, inventory adjustments, product returns) and complete theft reporting as necessary., • Support continuous improvement by influencing the adoption of company initiatives and technology, communicating expectations, and ensuring the execution of all store tasks., • Utilize company programs, tools, and resources to drive store improvements. Education • Bachelor’s degree is preferred Experience • 2-3+ years of fast-paced, retail management, or other relevant work experience, • Financial management: success with driving top-line sales, interpreting reporting data, managing payroll budgets, and controlling expense, • Retail management: proven ability with monitoring inventory levels, achieving operational excellence, driving a service culture, and executing merchandising directives, • Leadership management: experience with attracting, developing, and motivating top talent, swiftly adapting to change and leading others through the change-curve, developing collaborative relationships with others, and leading and influencing a team Skills • Proficient with basic technology (e.g., Point of Sale system, Microsoft Office programs, and Apple devices), • Excellent written and verbal communication, • Strong collaboration and interpersonal skills, • Strong organizational skills to manage multiple tasks, • Ability to react under pressure, use good judgment in ambiguous situations, and be flexible/adaptable SPECIAL POSITION REQUIREMENTS • Work a flexible, full-time schedule to include days, evenings, weekends, and holidays, • Attend off-site meetings, which may require overnight travel WORKING CONDITIONS • Continuous mobility throughout the store during shift, • Frequent bending, pushing, reaching, twisting during shift, • Frequent lifting and/or moving up to 10 lbs. during shift; ability to lift and/or move up to 40 lbs. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description BCforward is currently seeking a highly motivated AIS Investor Relations Executive Director for an opportunity in Jersey City, NJ! Title: AIS Investor Relations Executive Specialist/Director Location: Jersey City, NJ 07310 Onsite Client: JPMorgan Chase Contract: 9-month (s) contract with possible extension or conversion to FTE Pay Rate: $70 to $93/hr. on W2 As Executive Director – Investor Relations – Transfer Agency (IR), you will provide strategic leadership and oversight for the IR function within Alternative Investment Services (AIS). You will be responsible for setting the vision, driving the execution of key initiatives, and ensuring the delivery of best-in-class IR services to our clients and their investors. You will lead a high-performing team, champion change management, and partner with senior stakeholders across the organization to optimize processes, mitigate risk, and deliver on business objectives. Key Responsibilities • Provide strategic direction and leadership for the IR team, ensuring alignment with AIS and CIB business objectives., • Serve as the senior escalation point for complex client and investor matters, demonstrating deep expertise and sound judgment in resolving issues., • Build and maintain strong relationships with senior client stakeholders, investors, and internal partners across AIS and the broader organization., • Oversee and enhance the end-to-end investor relations operating model, driving innovation, process optimization, and risk mitigation., • Lead large-scale change initiatives, including systems implementations, data migrations, and re-engineering projects, ensuring successful delivery and adoption., • Champion a culture of client service excellence, continuous improvement, and operational rigor., • Oversee the execution of regulatory and compliance requirements, ensuring robust controls and adherence to global standards., • Drive the adoption and evolution of the “follow-the-sun” service model, ensuring seamless global service delivery. Computer skills and knowledge of hardware & software required • Extensive working knowledge of Microsoft Office products, including Word, Excel, Access, Visio and Outlook (or similar email program), • Proficiency in SQL would be advantageous, • Proficiency in project management softwar,e such as MS Projec,t would be advantageous, • Strong knowledge and understanding of Hedge Fund Accounting/Investor Relations systemsCompany DescriptionAbout BCforward: Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally. BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class places to work. BCforward is an equal opportunity employer.About BCforward:\r\n\r\nFounded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally.\r\n\r\nBCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class places to work.\r\n\r\nBCforward is an equal opportunity employer.

Job Description Botify’s leading agentic AI search technology and seasoned experts ensure every brand has the power to be found, both in traditional and AI search. With one powerful platform, brands achieve visibility, relevance, and greater control across Google, Bing, ChatGPT, Perplexity, and more. Botify’s technology powers agentic workflows, AI-driven recommendations, and automated cross-platform indexation and deployment. Brands maximize visibility wherever consumers, bots, and AI agents search, protecting and capturing revenue across all search platforms. Trusted by 500+ leading brands including Macy’s, Levi’s, Farfetch, the New York Times, and Marks & Spencer, Botify drives digital discovery, sustained profitability, productivity, and brand authority in an AI-first world. Industry research shows that women and those in traditionally underrepresented groups generally don't apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don't check 100% of the boxes - that's okay - we encourage you to apply anyway and highlight what you can bring to the table! Role Overview We are looking for an experienced, strategic people leader who is customer-obsessed and commercially-minded to serve as our Director of Account Management on the US Team. As a Director of Account Management, you’ll be responsible for managing a team of Account Managers focused on retaining and growing customers in our mid-market channel. You will own the renewal and upsell target associated with your book of business and be responsible for the day-to-day coaching and professional development of the individuals on your team. Your responsibilities: • Lead and mentor a high-performing team of Mid-Market Account Managers, providing coaching, guidance, and professional development., • Drive customer retention and expansion by ensuring the team is delivering value, deepening strategic relationships, and proactively managing risk., • Own team performance against renewal and upsell targets, pipeline development, and account health metrics., • Partner cross-functionally with Services, Program Management, Product, and Support to align on customer strategy and drive outcomes., • Develop scalable processes, playbooks, and forecast hygiene to support predictable growth across your book of business., • Leverage AI-powered tools and automation to improve team efficiency, identify risk and upsell opportunities, and streamline account workflows., • Evaluate and implement AI-driven solutions to scale customer insights, optimize renewal forecasting, and personalize outreach at scale., • Contribute to the global Account Management leadership team, helping to shape vision, process, and culture as Botify scales. Your qualification: • Based in the NYC Metropolitan area – this role requires 3-4 days in person working from our NYC office., • 7-10+ years of experience in Account Management, Sales, or Customer Success, ideally in SaaS., • 3+ years of people management experience, with a proven track record of developing and retaining top talent., • Experience managing mid-market or commercial customer segments with ownership over revenue goals., • Proven ability to balance customer advocacy with commercial outcomes., • Comfortable operating in a fast-paced, cross-functional environment with evolving priorities., • Excellent communicator with strong executive presence and ability to influence internally and externally., • Strong operational rigor – experience with Salesforce, forecast management, and scalable processes., • Unlimited Time Off, • 11 company holidays, • 16 weeks of parental leave, • Summer Fridays, • ClassPass Subscription, • Team building events and initiatives, • Flexible work policy, • Commuter benefits, • 401k, • Health and Wellness perks We are proud to be an equal-opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (NoMad) in office culture ABOUT THE ROLE: The Growth Lead will lead experiential and digital distribution strategies to drive growth for Regal. This is a hands-on, high-velocity role for someone who thrives on testing, iterating, and scaling new marketing channels. The right person isn’t just good at running campaigns; they’re obsessed with growth hacking, new tools, and finding fresh ways to break through. You will get to work closely with Regal execs and have a lot of visibility into how a high-growth marketing team and startup runs. Above all, you are data‑driven: you hypothesize, tinker, iterate, and ruthlessly cut tactics that don’t perform.RESPONSIBILITIES • Run rapid‑fire experiments across paid social, SEM, display, and the website, setting clear hypotheses, launching tests, and optimizing for CAC and ROAS., • Tinker with new channels: from TikTok-style B2B content to AI-powered ad creation, to finding underpriced media that others haven’t tapped into yet., • Be a scrappy executor: if we want to test OOH or podcast ads, you’ll research vendors, vet them, negotiate pricing, and launch quickly., • Leverage paid and organic strategies to amplify content across channels like LinkedIn, newsletters, display ads, and video., • Optimize every piece of creative: from landing pages to ads to short-form video, using the latest marketing tools, AI, and automation., • Move fast and iterate constantly: speed is everything in this role. We don’t need perfect; we need what works right now., • Measure and report on performance: track pipeline contribution, CPL, ROAS, and iterate based on what’s working (and what’s not)ABOUT YOU, • 2-4 years in growth, demand gen, or digital marketing - ideally within a high‑growth B2B or B2C SaaS environment., • Growth hacking mindset: You’re always testing new tools, AI-driven ad creative, and new ways to distribute content., • Paid media experience: You’ve managed budgets across paid social, display, programmatic, or other digital channels., • Creative problem solver: You don’t need direct experience in every channel, but you figure things out fast., • Data-driven and analytical: You don’t need direct experience with the advertising metrics but you are quantitativeObsessed with speed: You execute quickly, efficiently, and effectively., • Entrepreneurial DNA: You want to be a founder one day. You thrive in fast-paced, ambiguous environments where you can shape processes, influence product direction, and drive revenue. Your adaptability and growth mindset help you navigate change and complexity with ease.BENEFITS/PERKS, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized ClassPass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description Chef Operator [Executive Chef/General Manager] COMPENSATION: Salary Range: $80,000-85,000/year with annual increase + quarterly bonus with high growth potential PERKS AND BENEFITS: • 16 weeks of Fully Paid Parental Leave (for primary and secondary caregivers), • Health Insurance (Medical, Dental, and Vision), • Paid Time Off, • 401K Program, • Phone Reimbursement, • Commuter Benefits, • Complimentary DIG Meals every day As a Chef Operator, you will build a team that is driven by culinary excellence, and lead them to new skills in our scratch-based kitchen. You are a dynamic leader who loves to train, mentor, and develop your teams into future leaders by teaching them new skills everyday and showing up as your best self. You're an achiever who has a strong sense for operations and is driven by results. In our operation centered around innovation, you are always looking at business from a strategic, and systematic lens to set you and your team up for success. Staying organized while managing logistics and thinking big picture in a fast paced environment is key to your role as Chef Operator. We are constantly evolving our menu and testing new initiatives to improve our business operations. You will effectively manage, delegate and multitask to ensure your team is well equipped to handle any new challenge. You will clearly communicate and uphold culinary standards, roll out new projects/initiatives, and keep up with all DOH guidelines, all while inspiring your team to work towards a better food future. You are responsible for managing the entire restaurant operation and maintaining oversight over all front-of-house and back-of-house ops. ABOUT THE TEAM: Our Restaurants run using a traditional brigade system. As the Chef Operator, you are the first in command and have a true sense of ownership over your restaurant. You partner directly with the Chef de Cuisine to drive success and report to the Field Leadership Team. You work collaboratively with the other restaurant leaders to ensure the restaurant team is well-trained and organized to provide guests with an experience that goes beyond a great meal. DIG is determined to help support the next generation of farmers, cooks and chefs! YOU WILL: • Be responsible for the entire restaurant operation, including PnL responsibilities such as food cost management, labor efficiency, guest experience and building top-line sales., • Collaborate with the CDC on QA processes and convert guest feedback into actionable insights for the team., • Manage new initiatives and scheduled launches within the restaurant while instilling an entrepreneurial spirit in your team to keep them excited and engaged., • Monitor the operational flow of the restaurant, ensuring culinary and DOH standards/protocols are being followed and executed., • Manage all problems with technology, systems and/or offsite ordering platforms. You are proactive in troubleshooting and can handle all the moving pieces with ease., • Be the face of hospitality by both interacting with guests and delivery drivers to provide exceptional service and training up concierge roles in the restaurant to do the same., • Ensure that all employee relations conversations are properly documented and communicated to HR, including performance and GROW model conversations., • Manage recruitment needs for your restaurant by proactively interviewing, hiring and onboarding new culinarians., • Review & collaborate on people development plans with the Field Leadership team to build thoughtful succession plans., • Communicate verbally and digitally on a daily basis across various systemic and conduct Pre-shifts & Chef's tables with your restaurant team to keep them informed on updates and new restaurant goals., • 3 - 5 years minimum kitchen or operational restaurant management experience., • A passion for real, good food and the leadership skills to operate a scratched base, every changing kitchen., • The willingness to roll up your sleeves and pitch in whenever and wherever necessary., • The demonstrated skills to motivate and develop a high-performing team., • The discipline and desire to create systems and organization within fast changing environments., • Excellent communication skills and an eye for detail., • Strong computer skills. You can navigate multiple digital ordering systems with ease., • Ability to learn technological platforms and work systematically with them., • Familiarity with restaurant costing and inventory software., • The ability to perform physical requirements of the position (the ability to frequently lift up to 25 pounds and occasionally lift up to 50 pounds). These physical requirements may be accomplished with or without reasonable accommodations., • The desire for professional improvement and the process of learning., • The drive to network and build strong ties in your restaurant's community., • The ability to take many variables to find the best solution to a problem. Salary Range: $80,000-85,000/year with annual increase + quarterly bonus with high growth potential Our salary ranges are rooted in the desire to pay competitively relative to our organization size and industry, reflecting just one part of the total compensation package; additional components include quarterly bonus potential, healthcare benefits, various work perks (commuter benefits, free lunch) as well as opportunities for continued growth at DIG. Individual compensation decisions are determined by factors that include skills-based qualifications, prior work experience, and balancing internal equity relative to other DIG employees. We expect the majority of candidates who are offered roles at DIG to fall healthily within the ranges based on these factors ABOUT US: To learn more about our mission and food please visit our website at: NOTE: DIG believes in the power of a shared table to bring people together as we are committed to building a culturally inclusive team. Female, LGBTQ+, BIPOC, and diverse candidates are encouraged to apply ADDITIONAL ROLE NOTES: The duties of this position may change from time to time. Dig reserves the right to add or delete duties and responsibilities at the discretion of Dig or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Dig is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, age, ancestry, creed, color, religion, gender, sexual orientation, pregnancy, childbirth, breastfeeding or related condition, unemployment status, gender identity or expression, transgender status or gender dysphoria, marital status, domestic violence, sexual violence or stalking victim status, national origin, citizenship, disability, covered veteran and/or military status, genetic information or predisposing genetic characteristic, familial status as that term is described under the New York State Human Rights Law, caregiver or partnership status as those terms are defined under the New York City Human Rights Law (if you are employed in New York City) or other protected status or any other characteristic as protected under applicable federal, state and local law ("Protected Status")

Job DescriptionMAKE YOUR IMPACT Impact Kitchen is here to impact the lifestyle of New York City! Impact Kitchen is a nutrition focused all day restaurant & cafe serving breakfast, brunch, lunch & dinner. We are 100% free of gluten, refined sugars and seed oils. Make an Impact everyday with smoothies, power bowls, coffee, baked goods and endless other nutrient-dense options. Founded in Toronto in 2015, Impact Kitchen is the brainchild of two incredible innovators: personal trainer and nutrition expert Josh Broun, and M·A·C Cosmetics co-founder Frank Toskan. In addition to our restaurant presence, Impact Kitchen fuels many major league sports teams and top athletes through catering and culinary partnerships. WHAT MAKES IMPACT KITCHEN UNIQUE? Our Values • 96% – The amount of managerial roles we filled through internal success planning last quarter., • 91% – Our average Employee Experience score. SOUS CHEF (Internally referred to as Assistant Culinary Experience Manager) As a Sous Chef at Impact Kitchen, you play a hands-on leadership role in the kitchen, setting the standard for culinary excellence. You are passionate about food quality, consistency, and operational execution — ensuring every dish reflects our values and commitment to guest satisfaction. You work closely with the Culinary Experience Manager to support and lead all aspects of back-of-house operations — from food preparation and cleanliness to compliance and team development. This role is ideal for someone who thrives in a fast-paced environment and leads from the front, setting the tone for the team through direct involvement in day-to-day kitchen activities. This position offers a clear growth path to Culinary Experience Manager and ultimately Restaurant General Manager. COMPENSATION Sous Chefs earn a total compensation between $68,000 - $72,000 per year and enjoy: * Meal stipend * Substantial discount on Impact Kitchen products * Eligibility for health and dental benefits * Paid vacation and sick time * Flexible scheduling to support a balanced lifestyle TEAM & DEPARTMENT As a Sous Chef, you help lead all kitchen operations and support the Culinary Experience Team with a focus on food execution, cleanliness, consistency, and efficiency. You are accountable for delivering high-quality meals while managing food costs, labour, and kitchen systems. You model professionalism and inspire your team to work with purpose, urgency, and pride. This role involves direct leadership of a large portion of our team and serves as the main point of food production for our guests. You’ll work closely with both front-of-house and support teams across multiple levels of the organization. The Sous Chef (Assistant Culinary Experience Manager) reports to the Culinary Experience Manager. CORE RESPONSIBILITIES * Lead the daily execution of food preparation and kitchen operations * Lead by example in all areas of kitchen execution — including prepping, cooking, and expo — to set the standard for quality, urgency, and professionalism * Ensure all food served meets Impact’s quality, presentation, and consistency standards * Maintain a clean, safe, and organized kitchen that meets all health and safety regulations * Manage and oversee prep lists, production schedules, and service flow * Assist with scheduling and labour management to align with sales forecasts and budgets * Coach, train, and develop kitchen staff; promote a culture of accountability and learning * Uphold and reinforce SOPs for food production, inventory, and sanitation * Support recruitment and onboarding of kitchen talent; participate in evaluations and progressive discipline where necessary * Track and report on kitchen KPIs such as food cost, labour cost, and waste * Collaborate with senior leaders and culinary stakeholders on new menu items, recipe development, and production rollouts SKILLS & QUALIFICATIONS * Culinary Degree from a recognized institute or equivalent experience * Minimum 3 years of progressive kitchen management experience * Proven success managing food and labour costs in a high-volume kitchen * Comprehensive knowledge of food production, cost controls, sanitation, and kitchen safety * Strong leadership, communication, and organizational skills * Experience in training and developing culinary staff * Ability to ensure and train on consistency, quality, and plate presentation * Flexible availability including weekends and holidays; willingness to work extended hours when needed * Commissary or multi-location experience considered an asset * Ability to lift over 20 lbs and remain active during long shifts INCLUSIVITY AT IMPACT Impact Kitchen serves a diverse community and is made stronger by a diverse team. We welcome and encourage applications from individuals of all backgrounds, identities, and experiences. As an Equal Opportunity Employer, our hiring decisions are based solely on business needs, experience, and potential. We do not discriminate based on any classification protected by law. We are committed to accessible hiring practices. If you require accommodation during the recruitment process, please indicate this in your application. Both Impact Kitchen and the applicant share the responsibility to communicate and accommodate reasonably. Powered by JazzHR qCF3S3lGPR

About Lumen Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress. We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. The Role Identifies and develops new Large Enterprise sales opportunities, provides product solutions, ensures customer satisfaction, and maintains positive ongoing relationships to maximize sales for the company. Introduces company products and services to new and/or existing customers. Responsible for the implementation of strategic and tactical sales account plans. Develops and maintains accurate sales and/or revenue forecasts and management of quota funnels. The Main Responsibilities • Develops and manages relationships with acquired and/or existing customers in order to gain strategic positioning with decision makers, attain additional business, and retain existing revenue. Develops action plans to cross-sell and up-sell accounts to increase overall total customer spend with the company., • Identifies, bids on, negotiates, and closes new sales opportunities in order to meet and exceed established sales and revenue quotas. Provides comprehensive account plans and strategies to win new business from new and/or existing accounts., • Demonstrates knowledge of the company's entire product suite. May have more in-depth knowledge on a subset of products and/or services., • Provides accurate and detailed weekly forecast funnel of identified and proposed opportunities in order to meet or exceed sales quota requirements. Provides input to sales management about trends and changes taking place within the customer’s organization, and makes recommendations about future courses of action necessary of the company towards improving its position with the customer. What We Look For in a Candidate Requires at least 50% or more of time conducting sales activities outside of the office. Basic Qualifications: • 7+ years of industry sales experience., • Minimum skills required to perform in this role., • Attention to detail with good organizational capabilities., • Ability to prioritize with good time management skills., • Demonstrated strong communication, written, and formal presentation skills as well as proficiency in selling to the close., • Self-motivated, pro-active, results-oriented professional with an ability to work with minimum direction., • Proficient in MS office products: Outlook, Word, Excel, and PowerPoint. Preferred Qualifications: • Knowledge and understanding of the telecom industry's competitive landscape. Location Based Pay Ranges: $118,251 - $157,658 in these states: NY. Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: • Benefits, • Bonus Structure #LI-Onsite #GLE What to Expect Next Requisition #: 340783 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: • Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement)., • Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses., • Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements., • Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing., • Ground power cables and associated clamping/saddles., • Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) • Consistently prioritizes safety and security of self, others, and personal data., • Embrace diverse people, thinking, and styles., • Possesses a high school diploma, GED, or high school equivalency., • Is at least 18 years of age and has authorization to work in the United States., • Must have a valid driver's license., • Must be proficient in English., • Ability to lift items weighing between 50 and 70 pounds., • Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays., • Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics., • Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors., • Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations., • Competitive salary, industry-leading profit sharing program, and performance incentives., • 401(k) with generous company contributions up to 9%., • New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31)., • In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period., • LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program., • 10 paid holidays per calendar year., • Birthing parents are eligible for 12-weeks of paid maternity/parental leave., • Non-birthing parents are eligible for 2-weeks of paid parental leave., • Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits., • Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages., • Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health., • Domestic and International space-available flight privileges for employees and eligible family members., • Career development programs to achieve your long-term career goals., • World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint., • Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies., • Recognition rewards and awards through the platform Unstoppable Together., • Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: • Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement)., • Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses., • Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements., • Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing., • Ground power cables and associated clamping/saddles., • Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) • Consistently prioritizes safety and security of self, others, and personal data., • Embrace diverse people, thinking, and styles., • Possesses a high school diploma, GED, or high school equivalency., • Is at least 18 years of age and has authorization to work in the United States., • Must have a valid driver's license., • Must be proficient in English., • Ability to lift items weighing between 50 and 70 pounds., • Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays., • Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics., • Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors., • Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations., • Competitive salary, industry-leading profit sharing program, and performance incentives., • 401(k) with generous company contributions up to 9%., • New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31)., • In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period., • LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program., • 10 paid holidays per calendar year., • Birthing parents are eligible for 12-weeks of paid maternity/parental leave., • Non-birthing parents are eligible for 2-weeks of paid parental leave., • Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits., • Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages., • Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health., • Domestic and International space-available flight privileges for employees and eligible family members., • Career development programs to achieve your long-term career goals., • World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint., • Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies., • Recognition rewards and awards through the platform Unstoppable Together., • Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The AI Services team is looking for a data scientist with a particular interest in operationalizing and scaling ML/AI applications who is eager to take on the responsibility of contributing to a wide variety of data science projects. The person in this role will be join a team of leading edge data scientists who are not just building models, but are working to solve foundational business problems for the Company. Role In this role you will responsible for: • Designing, developing, and researching ML systems, • Studying, transforming, and extending data science prototypes, • Searching cleaning, aggregating large data sets from Cloudera, AWS, Azure, Splunk, • Application development and maintenance on Linux environments, • Performing statistical data analysis, • Iteratively training and retraining Machine Learning systems and models, • Extending existing ML frameworks and libraries, • Data visualization and story telling with Tableau, Jupyter, RShiny and/or d3s, • Graph analytics with Python, R or TigerGraph About You • Programming with Python and/or R languages, • Programming within ML Frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Spark/ML, • Model deployment with containers such as Kubernetes and/or Docker, • Anomaly detection and model/data drift analysis affecting production ML models, • Building and maintaining ML production pipelines, • Solid verbal and written communication skills, • Bachelor of Science in Computer Science, Engineering, or Mathematics or similar field, • Experience with a Fortune 500 Company a plus #AI Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $166,000 - $265,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Corporate Strategy (Core Payments) VP Strategy (Core Payments) Job Title: Vice President, Strategy Purpose. Join our dynamic Strategy and Execution team. This strategy role is ideal for someone passionate about payments and innovation We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Responsibilities: Drive and develop executive level strategy documents capturing the organization’s vision and business focus areas in partnership and alignment in strong collaboration with senior level stakeholders within Core Payments, Commercial New Payment Flows (CNPF), , Services, Regions, etc. Contribute to the overall strategy agenda through thought leadership and creativity. Identify, structure, and prioritize cross-functional initiatives focused on payments products (e.g., tokenization, digital first, contactless, account to account, etc.) to generate actionable recommendations. tackle complex digital business problems, uncover root causes, develop solutions, and translate them into specific recommendations. Apply strategic and analytical rigor to product strategies, acting as a thought partner to prioritize and structure an innovative agenda. Maintain knowledge of payments landscapes and market trends to develop innovative solutions and product strategies. Develop and execute robust communications to align priorities and address support needs across various digital work streams. Manage relationships and other related workstreams, linked to MA strategic priorities, across the business to ensure buy-in, engagement and committed deliverables i.e. Core, CNPF, Services, Finance etc. Share learnings and insights with Divisional Presidents, Country Managers, and other key stakeholders, where relevant. • Management of cross functional teams to drive outputs and deliverables. Qualifications: Extensive experience in strategy consulting or developing go-to-market strategies for payments and/or digital products. Extensive experience of translating strategies to execution plans, driving end to end execution – particularly in a cross-functional environment, managing and prioritizing competing initiatives Strong understanding of Mastercard's products, services, and key revenue drivers, as well as the larger payment industry. Excellent communication and influencing skills to work with internal and external stakeholders. Proven track record of translating digital strategies into execution plans and driving end-to-end execution in a cross-functional environment. Politically savvy with a history of building consensus and bringing people together around a common cause. Analytical and solutions-oriented with the ability to drive thought leadership in digital strategy. Experience in M&A and/or corporate development is a plus. Compensation: Total Base Pay Range: $223,000.00 - $357,000.00 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Purchase, New York: $221,000 - $353,000 USD New York City, New York: $230,000 - $368,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Who is Mastercard? We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what’s next. About The Role As a lead software engineer at mastercard, you are expected to perform following responsibilities: Own complex problems having dependency across services and facilitate cross-functional team interactions to drive resolution Write code to build and enhance applications/services and promote code-reviews, code scanning, and other standard development practices to deliver high-quality artifacts to production. Define, design, and develop procedures and solutions at a service level to meet the business requirements/enhancements Drive prioritization decisions and trade-offs in working with product partners Identify opportunities and build roadmaps to enhance primary service/function Automate and simplify all aspects of software delivery and development actively evangelizing the need to automate and simplify where needed. Drive seamless integration across all connected services to meet end-user expectations Drive blameless postmortems culture to identify root causes of incidents and implement learnings Introduce new technologies and architecture by following enterprise guidelines Advocate for engineering principles outside of current organization/platform Provide development and architecture guidance to team members Build relationships and effective partnerships across organizations Write and evaluate recommendations for job promotions based on an unbiased view of one's accomplishments Conduct technical interviews for hiring engineering staff and raising the performance bar Lead by example with hands-on approaches to demonstrate engineering excellence Encourage staff to share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity All About You Has the ability to write secure code in three or more languages (e.g., C, C+, C#, Java, JavaScript) and familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerabilities Has skills in building applications using open frameworks to achieve reuse and reduce development times (e.g., Spring Boot, Steeltoe, Angular, DXP, others) Understands internals of operating systems (Windows, Linux) to write interoperable and performant code Able to perform debugging and troubleshooting to analyze core, heap, thread dumps and remove coding errors Has skills to document and coach team on the development practices and coding guidelines (e.g., branching, peer reviews, library use, logging, scanning rules, test-driven development, error handling) Understands use cases for advanced design patterns (e.g., service-to-worker, MVC, API gateway, intercepting filter, dependency injection, lazy loading, all from the gang of four) to implement efficient code Has skills to undertake a technical review of code across applications and their dependencies to look for anti-patterns and promote continuous refactoring Understands and elaborates technical debt and operational issues to drive prioritization discussions with stakeholders to improve the run experience Understands system architecture to plan for platform and infrastructure capacity (e.g., database, compute, network, storage) and drives the dependency prioritization to reduce the delivery lead time Has skills to understand customer journeys and ensure a Mastercard good experience by continuously reducing Mean time to mitigate (MTTM) for incidents and ensuring high availability (99.95% as a starting point) Has skills to simplify deployment and eliminate software and infrastructure snowflakes using standardized platforms, ephemeral instances, and automation Has skills to orchestrate release workflows and pipelines and apply standardized pipelines via APIs to achieve CI and CD using industry-standard tools (e.g., Jenkins, Bamboo, AWS/Azure pipelines, XL Release, others) Able to configure rules and build automation for code with vulnerability scanning and software composition analysis using standard tools (e.g., Sonar, Checkmarx, Nexus, JFrog XRay, Veracode, others) Has skills to define, organize, and report on test runs for major, minor, and hotfix releases (including unit, component level, system level, customer journeys, past customer issues, and regulatory controls) Has skills to conduct various performance tests (e.g., load, spike, breakpoint, endurance) to Understands application/service limits and behaviors Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $168,000 - $277,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Silicon Alley Emerging Payments Technology team in New York City is looking for a Senior Software Engineer- Java Backend to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Located in the Flatiron District of Manhattan, Mastercard is researching and developing the next generation of products and services to enable consumers to securely, efficiently, and intelligently conduct transactions regardless of channel. Whether through traditional retail, mobile, or e-commerce, Mastercard innovation is leading to the digital convergence of traditional and emerging payments technologies across a wide variety of new devices and services. Join our team and help shape the future of connected commerce! Role • Experienced hands-on developer specializing in application-layer and UI development for web and mobile platforms, • Key contributor on the Emerging Payments Technology team, driving innovation across products and services, • Designs and delivers responsive, user-friendly interfaces for various devices, • Collaborate with Agile teams to ensure high-quality, timely delivery, • Explores and apply emerging technologies through prototyping and proof-of-concepts, • Participates in code reviews and promotes best practices to maintain strong code quality All About You • Strong verbal and written communication skills, with excellent collaboration, relationship-building, and organizational abilities, • Skilled in translating functional product requirements into application-layer code and turning visual designs into fully functional user interfaces for web applications, • Proficient in Java, J2EE, Spring Boot, JPA, JSF, JUnit, SOAP & REST web services, JSON/XML, JBoss, Log4j, Eclipse STS, SQL, and Oracle Database Server, • Experience in API development (REST & SOAP), • Proficient in Test-Driven Development (TDD), Continuous Integration/Delivery (CI/CD), and modern development workflows that support efficient, high-quality code delivery, • Experienced in implementing secure web services and contributing to e-commerce application development, • Bachelor’s degree in information technology, Computer Science, or Management Information Systems, or equivalent combination of relevant experience and education #LI-FT1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges New York City, New York: $138,000 - $221,000 USD

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Product Manager Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Product Manager Who is Mastercard? We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. About the Role The Global Network Architecture Team is looking for an experienced Product Manager to join our organization and help drive the development of second wave network automation solutions. The ideal candidate will have deep background in software development/automation methodologies and how they can empower digital infrastructure. In this role you will work with a world-class team of Infrastructure architects and software engineers to define, develop and deploy software defined networking & automation solutions across the global Mastercard network. Role • Define and evolve the product vision and long-term strategy for Network Automation, • Align product goals with broader business and infrastructure objectives., • Collaborate with internal stakeholders to understand business needs and translate them into detailed technical requirements and functional specifications., • Build and maintain product roadmap and strategies, • Prioritize features and capabilities based on impact, feasibility, and strategic alignment., • Partner closely with engineering teams to validate designs, estimate effort, and ensure technical feasibility., • Support the development lifecycle by providing clear documentation, user stories, and acceptance criteria., • Define and track key performance indicators (KPIs) for network product performance, cost efficiency, and reliability., • Use data-driven insights to inform product enhancements and operational improvements., • Evaluate emerging technologies and trends to enhance product capabilities., • Act as the technical voice of the customer across product, engineering, finance, and leadership teams., • Develop strategic communications to enhance product awareness and adption, • Ensure all products meet regulatory, security, and compliance requirements., • Guide junior product managers and technical team members in best practices., • Foster a culture of continuous learning and technical excellence. All About You • Industry Expertise: Extensive experience in Software Development and digital infrastructure design from a hands-on and product perspective., • End-to-End Product Delivery: Proven ability to lead products from concept through execution—including requirements gathering, solution design, testing, implementation, and post-production monitoring, • Strategic Decision-Making: Skilled in making informed, data-driven trade-offs during solution design and architecture discussions, balancing efficiency, scalability, and business impact., • Agility & Execution: Demonstrated success in delivering high-quality outcomes in fast-paced environments with evolving priorities and tight timelines., • Cross-Functional Collaboration: Adept at building strong partnerships across product, engineering, and executive teams, with excellent communication and stakeholder management skills., • Project Ownership: Experienced in facilitating meetings, maintaining technical documentation, and responding to customer inquiries related to owned initiatives., • Agile Methodologies: Hands-on experience working within agile delivery frameworks, including Scrum or Kanban, and collaborating closely with engineering teams., • Innovation & Problem Solving: Continuously seeks opportunities to improve processes, solve complex problems, and drive operational efficiencies., • Core Competencies: Strong in active listening, critical thinking, collaboration, rapid learning, and challenging the status quo with creative, outside-the-box thinking. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Powell Service Division is looking for a highly skilled and motivated Senior Service Technician interested in joining one of the nation’s leading providers of medium and low voltage switchgear. Powell Service Technicians are responsible for ensuring the end to end safety, quality and performance of Powell equipment across the US and Canada. This includes performing installations, preventative maintenance, corrective maintenance, and periodic supervision of small crews. The ideal candidate thinks critically, can work well independently, and is a problem solver. Senior service technicians are expected to service the west coast, gulf coast south, offshore and east coast service regions. Qualified Service Technicians are provided safety and technical training with full office support. Once qualified, Technicians are assigned a company vehicle, standard tooling, testing equipment, a laptop, smart phone, and company expense card. Key Responsibilities • Adhere to Powell’s current safety and quality standards, • Complete all site documentation in in a timely manner; including but not limited to, weekly time sheets, signed service and repair order, materials used and report writing., • Provide regular and clear communication regarding work schedule to Field Operations Scheduler and District Service Manager, • Maintain flexible work hours, which will include over time and periodic weekend support, • Comply with Powell ‘s standard operating procedures, documentation processes, safety processes and protocols., • Coordinate with Powell Project management, customers, vendors, and labor support in a professional and customer-centric manner, • Able to work in different roles from supporting the Manufacturing Department within house fabrication, to overseeing small crews on installation projects., • Switchgear and PCR installations, • DC / AC Switchgear, • Knowledge of Traction Power Systems, • Troubleshooting mechanical repair issues., • Perform performance testing on Powell equipment and components, including but not limited to; insulation testing (megger testing), Ductor, Hi Potential testing, torque tests and mechanical / functional testing., • Perform regular inspections of any issued vehicle or calibrated equipment/tools., • The Senior Service Technician must possess a high school diploma, as well as three or more years’ experience, as a shop and / or field electrical / technician., • Senior Service Technicians must exhibit knowledge of Electrical Industry manufacturing standards., • Specific standards include sections of ANSI IEEE C37 applicable to the design and manufacture of breakers and switchgear., • Specific knowledge of the following: ANSI IEEE device function numbers; ampacities of electrical conductors in switchgear applications; electrical air and surface creepage clearance requirements., • Demonstrate knowledge in the design and manufacture of bus and structural modification projects., • Powell also requires that all Service Technicians undergo Factory Certified Technician training and maintain a passing grade., • The Senior Service Technician must be experienced in the art of writing accurate and complete test reports, project summaries and has the ability to explain anomalies found on a given project., • Knowledge of basic electrical theory and control circuits i.e.: Ohm's Law; Basic AC and DC theory; contactor and circuit breaker schematics are a must., • The Senior Service Technician must be able to perform of hi-pot testing and breaker function testing. i.e.: testing of over-current and motor protection relays with current injection; acceptance testing of dielectric apparatus using over voltage testing; mechanical and electrical functional testing of circuit breakers and electrical switchgear., • The Senior Service Technician will also be expected to demonstrate proficiency with computer skills using Oracle, MS Outlook, Power DB, Word & Excel., • Additional requirements include but are not limited to:, • Working knowledge with using the following test equipment: Hi potential, DLRO, Multi-meter, dial caliper., • Must demonstrate working knowledge with the use of various hand tools and mechanical adaptability., • Must have verbal and written communication skills., • Proficiency in problem solving is a preferred., • Willing to attend in-house and out-side training., • Willing to travel up 85% of the year. The Senior Service Technician typically performs duties in an industrial environment. This position requires services both locally and across the Continental US. It is the policy of Powell Service Division to promote safe working conditions for ALL employees, to make available where necessary special equipment to protect employees against specific hazards, to reduce accidents through prevention programs and to establish rules that are designed for the safety of all. It is the responsibility of each employee to adhere to this policy, as well as to observe all safety practices and exercise every precaution for the safety of accidents. Physical Demands • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • While performing the duties of this job, the employee is regularly required to use hands to finger, handle, feel, carry or operate objects, tools or controls and reach with hands and arms., • The employee frequently is required to stand; talk or hear; walk; sit. Specific vision abilities required by this job include close vision and the ability to adjust focus., • Additional requirements are as follows:, • Medium physical effort (lifting/moving up to 50 pounds), • Have full range of mobility in upper and lower body and be able to work in various positions, including, but not limited to, stooping, standing, bending over, sitting, kneeling and squatting for extended periods of time., • Work at heights greater than 10’., • Work on ladders of all types. #LI-CAB In our 75+ year history, Powell has always known that our employees are at the heart of our success. Without question, we have the most talented people in all parts of our organization. As a manufacturer, we recruit and hire experienced and knowledgeable applicants to ensure our product is engineered, fabricated, and assembled to customer specifications! Powell’s culture has and will always be founded in our "can do" attitude. If we can imagine it, we can do it. Become a part of our story and let us help you write yours. Hard work pays off in all our teams, with opportunity for advancement and promotion without sacrificing work-life balance. Successful candidates must have a legal authorization to work in the United States on a full-time basis, with only those candidates selected for interview contacted. Powell offers comprehensive health insurance for you and your family, 401k savings, annual bonus potential, generous paid time off, professional development opportunities, company-sponsored wellness programs, and a collaborative work environment. EOE Protected Veterans/Disability If you need an accommodation in the hiring process, you may contact 713.378.2685. Application status inquiries will not be accepted in this manner.