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Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. NetApp® ONTAP® data management software is coming to Oracle Cloud Infrastructure as a first party, fully managed service. That makes Oracle the fourth hyperscaler to run ONTAP natively, after Amazon Web Services, Microsoft Azure, and Google Cloud. Someone needs to build the Oracle seller relationships, the pipeline, and the first customer wins. This role is that person. The role You'll own the joint go-to-market motion with Oracle's field. You'll sell alongside Oracle sellers and NetApp account teams, and you'll help customers move their ONTAP workloads to Oracle Cloud Infrastructure without rewriting applications. The role combines strategic sales leadership with business development. Your quota is cloud consumption revenue, and your relationships with Oracle, Customers and NetApp sellers decide whether you hit it. You'll also be the voice of the customer and of Oracle's field to our product and marketing teams. What you hear in the field will shape the roadmap and the messaging. Location: Ideal candidates are East Coast based What you'll do • Drive consumption of the service through priority Oracle sellers, customers, and partners, and through the cloud marketplaces., • Build and run an MRR and ARR sales plan that maps account to the right Oracle and NetApp resources., • Build pipeline through prospecting, joint account planning, and direct and indirect customer contact., • Lead value-based conversations with senior business and IT decision makers. Tie the service to their workload, migration, data protection, and cost priorities., • Run high-level technical discussions, then bring in solution architects when a deal needs depth., • Turn customer and seller feedback into input for product and marketing., • Keep a clean SFDC pipeline, with opportunities documented and followed through to close. What you bring • 8+ or more years of quota-carrying sales, business development, and experience working in a highly matrixed environment, including growing a new or emerging offering., • A record of selling cloud or data infrastructure services through a hyperscaler or technology partner, and of working inside a partner's field organization., • Experience closing large, consumption-based or subscription deals with senior decision makers., • Strong forecasting and pipeline discipline, and the judgment to qualify early and focus on the right accounts., • A bachelor's degree in a STEM or related field, or equivalent professional experience. A graduate degree is a plus. You'll stand out if you have • Sold first-party NetApp cloud services, such as Amazon FSx for NetApp ONTAP, Azure NetApp Files, or Google Cloud NetApp Volumes, or worked in a hyperscaler or NetApp overlay role., • Existing relationships inside Oracle's field organization., • Sold ONTAP or enterprise storage, or know how enterprise workloads such as Oracle databases, VMware, SAP, and file services move to the cloud., • Launched a new service or a new partner motion from the beginning. Why this role • You'll join at launch, so you set the playbook rather than inherit one., • You'll work on a first-party service with joint Oracle and NetApp sales motion, not a resell arrangement., • You'll have direct access to the product leaders building the service. Why this role • You'll join at launch, so you set the playbook rather than inherit one., • You'll work on a first-party service with joint Oracle and NetApp sales motion, not a resell arrangement., • You'll have direct access to the product leaders building the service. The target salary range for this position is 287,300 - 371,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Principal GTM Lead, Portfolio Strategy is a high-impact, senior individual contributor role bridging Business Unit (BU) Product Management, Product Marketing, Competitive Intelligence, our global technical field organization (Sales Engineers, Principal GTM Architects, and Partner Technical Leaders), and Client Executive Sales organization. Serving as the "Chief Field Advocate and GTM Strategist" within the Portfolio Strategy team, you ensure every product launch, NDA roadmap disclosure, and solution narrative is technically sound, field-ready, aggressively differentiated, and directly actionable for sellers. Leveraging deep architectural mastery of enterprise storage markets and field sales dynamics, you translate raw technical capabilities into targeted "How-to-Sell" plays—tailoring the message to expand our installed base, win net-new customer logos, and establish dominance in emerging workloads and markets. • Field Credibility: Established reputation and gravitas within senior technical sales and architect communities., • Strategic "Street Smarts": Ability to balance high-level strategic portfolio vision with the tactical realities of competitive field sales cycles., • Collaborative Review Style: High emotional intelligence, constructive review approach, and dedication to mentoring and elevating team output. "How-to-Sell" Strategy & Targeted Sales Plays • Installed-Base Modernization: Author sales plays and technical talk tracks for existing accounts. Highlight refresh justifications, next-gen upgrades, protocol expansion (block/object/unified), and consumption models (Cloud, Keystone)., • Net-New Customer Acquisition: Craft targeted displacement plays and friction-free land strategies to unseat incumbents in competitive accounts., • New Workloads & Market Expansion: Prescribe positioning for emerging domains, including Enterprise GenAI pipelines, modern virtualization, cyber vaulting, and hybrid multicloud data management., • Sales Motion Alignment: Establish qualification criteria, discovery questions, objection handling, and architectural sizing guidance to accelerate deal velocity. Competitive Differentiation & Market Positioning • Embed Competitive Edge: Systematically integrate "Why We Win" differentiation and counter-positioning into launches, roadmaps, technical FAQs, and solution decks., • Competitor Acumen: Maintain architectural expertise across primary, secondary/backup, file/object, and cloud storage rivals (e.g., Pure Storage, Dell, HPE, VAST Data, hyperscalers)., • Deconstruct Rival Claims: Partner with Competitive Intelligence to expose competitor vulnerabilities and arm technical teams with credible counter-arguments., • Win/Loss Integration: Synthesize competitive trends to refine sales plays and feed feature gap analysis back to product teams. NDA Roadmap Strategy & Global Technical Training • Lead Enablement Sessions: Partner with BU Product Managers to curate and deliver monthly NDA roadmap enablement for global SEs, GTM Architects, and key partner technical leaders., • Design Presentation Frameworks: Build standardized, high-impact roadmap templates and visual narratives for executive customer briefings and semi-annual release cycles., • Bridge Inbound & Outbound Roadmaps: Act as the technical and editorial sanity check to ensure roadmap commitments solve field friction and capitalize on market opportunities. Technical Launch Review & Quality Assurance • Commercial & Technical Tollgate: Rigorously review launch assets (whitepapers, battlecards, decks) to ensure deep technical accuracy, relevance, and role alignment., • Peer Review & Mentorship: Provide technical critique, competitive polish, and structural feedback across Portfolio Strategy deliverables prior to distribution., • Workload-to-Outcome Translation: Convert complex block, file, object, cyber resilience, and hybrid cloud architectures into clear business outcomes. Cross-Functional Influence & Field Advocacy • Stakeholder Bridge: Build trusted alignment across BU General Managers, Product Management, PMM, and Regional SE Leadership (Americas, EMEA, APAC)., • Influence Product Evolution: Channel field and customer feedback into BU development gates, RFE prioritization, and long-term portfolio direction., • Support Strategic GTM: Drive execution across key portfolio pillars: Cloud, Keystone (STaaS), Enterprise AI, Virtualization Optimization, and Sustainability., • Typically requires a minimum of 15+ years of progressive experience in senior technical go-to-market roles, such as Senior/Principal Sales Engineer, Field CTO / Principal GTM Architect, Technical Marketing Engineer (TME), or Technical Product Manager., • Proven "How-to-Sell" Playbook Development: Demonstrated track record of creating field-adopted sales plays, customer journey maps, and technical messaging for both installed-base expansion and net-new customer acquisition., • Deep Storage & Infrastructure Mastery: Hands-on architectural knowledge of enterprise storage architectures (unified file, block, object), flash storage economics, cyber-vaulting/ransomware recovery, and hybrid cloud integration. Deep familiarity with the NetApp portfolio (ONTAP, Cloud, ASA/AFF/FAS, StorageGRID, Keystone, NetApp Console) is strongly preferred., • Proven Competitive Acumen: Demonstrated mastery of the enterprise data storage competitive landscape (both traditional on-premises and hyperscaler cloud storage offerings), with a proven track record of creating battle-tested competitive collateral and sales enablement., • Audience Resonance & Storytelling: Proven ability to command the room with senior technical leaders (CTOs, Enterprise Architects) and distill complex engineering concepts into crisp, differentiated value propositions., • Presentation & Template Craftsmanship: Outstanding skill in building executive-ready, visually compelling presentations and architectural frameworks., • Cross-Functional Influence: Demonstrated ability to influence senior cross-functional leaders (VPs, GMs, Directors) without direct authority. The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Enterprise Agreement (EA) Solution Sales Specialist (SSP) is a customer-facing sales specialist responsible for driving Enterprise Agreement adoption, pipeline growth, and bookings within an assigned geography. Partnering closely with Account Teams, Area Leadership, Business Desk, Finance, Legal, and other cross-functional stakeholders, the EA SSP helps identify, qualify, position, and advance Enterprise Agreement opportunities from initial discovery through close. The EA SSP serves as the subject matter expert for the Enterprise Agreement portfolio and is responsible for enabling sellers, engaging customers, shaping commercial strategies, supporting negotiations, and driving business growth across the assigned territory. The relative focus on seller enablement, market development, customer engagement, and deal execution may vary based on geography, market maturity, and business priorities. Drive growth and opportunity progression: • The specialist identifies and qualifies opportunities, develops adoption strategies, maintains pipeline and forecast visibility, and guides deals from discovery through close in partnership with Account Teams. Engage customers and lead strategy: • Responsibilities include leading discovery, communicating business and financial value, expanding relationships across buying centers, shaping commercial structures, and supporting pricing, contracting, and negotiations with Business Desk, Finance, and Legal. Enable sellers and deliver measurable results: • The role provides coaching, market insights, success stories, and repeatable sales motions while being measured through bookings, pipeline generation, opportunity conversion, adoption, seller enablement, customer engagement, and influence on geographic performance., • It calls for enterprise technology or solution-sales experience, commercial and financial acumen, executive communication, negotiation support, and strong cross-functional collaboration., • A minimum of 12 years of relevant experience is required, • Experience in enterprise technology sales, solution sales, commercial strategy, or complex deal leadership., • Proven ability to identify, develop, and advance strategic opportunities., • Strong customer-facing communication and executive engagement skills., • Experience supporting multi-stakeholder sales cycles and commercial negotiations., • Ability to translate customer business objectives into actionable commercial strategies., • Strong collaboration skills across Sales, Finance, Legal, Operations, and partner organizations., • Business and financial acumen, including value selling and commercial positioning. Enterprise Agreements are a strategic growth opportunity for NetApp. The EA Solution Sales Specialist plays a critical role in helping customers understand the value of Enterprise Agreements while enabling sales teams to identify, position, and close opportunities more effectively. By combining customer engagement, commercial leadership, seller enablement, and business development, the EA SSP helps accelerate Enterprise Agreement adoption and drive long-term growth across the business. The target salary range for this position is 287,300 - 371,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Job DescriptionAPN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us. Role: ServiceNow & Moveworks Engineer Location: Remote US Duration: Contract Job Overview Experience: 5 Years IT / 3 Years ServiceNow / 2 Years Moveworks The client is seeking a ServiceNow & Moveworks Engineer to design, develop, and support integrations between ServiceNow and the Moveworks AI platform. The engineer will help automate employee support, improve self-service, and integrate enterprise workflows across IT and HR service channels. Key Responsibilities " Develop and maintain integrations between ServiceNow and Moveworks. " Configure ServiceNow capabilities consumed through Moveworks conversational interfaces. " Support employee self-service and AI-driven ticket automation. " Build and maintain ServiceNow APIs used by Moveworks. " Configure REST APIs, IntegrationHub, web services, and authentication mechanisms. " Develop ServiceNow workflows and automation supporting Moveworks use cases. " Configure catalog items, knowledge articles, incidents, requests, and cases for AI-driven interactions. " Support conversational automation and employee-support workflows. " Troubleshoot API, authentication, integration, and workflow issues. " Work with business teams to identify opportunities for automation. " Configure ServiceNow Flow Designer and IntegrationHub. " Develop scripts, Script Includes, Business Rules, and REST integrations. " Monitor integrations and troubleshoot production issues. " Support testing, releases, upgrades, and deployment activities. " Document integrations, APIs, workflows, and technical architecture. Required Skills " 3 years ServiceNow development. " Hands-on Moveworks integration/development experience. " Strong REST API experience. " ServiceNow IntegrationHub. " Flow Designer. " JavaScript / Glide APIs. " ServiceNow ITSM. " Service Catalog and Knowledge Management. " Incident and Request Management. " API authentication such as OAuth. " Troubleshooting of enterprise integrations. Preferred " Experience with Moveworks Studio. " Moveworks API/integration experience. " Experience with conversational AI or enterprise virtual agents. " ServiceNow Virtual Agent. " Employee Center. " HRSD. " Microsoft Teams integration. " Azure AD / Entra ID. " Experience with SSO/SAML/OAuth. We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

Job DescriptionSummary: Work Mode: [Remote / On-site / Hybrid – specify] Job Type: Full-time Experience Level: Mid to Senior Level Responsibilities: • Plan, coordinate, execute, and successfully deliver projects within established timelines, budgets, and quality standards., • Develop project plans, define milestones and deliverables, assign responsibilities, manage resources, and monitor project progress., • Communicate regularly with stakeholders, identify potential risks and issues, and develop appropriate mitigation strategies., • Coordinate cross-functional teams and ensure that project objectives are clearly understood and achieved., • Maintain accurate documentation and provide regular status reports to management.Requirements:, • 5 years of professional software development experience., • Proficiency in one or more programming languages (e.g., Java, Python, C#, JavaScript/TypeScript, Go)., • Experience building and consuming RESTful APIs and/or working with microservices architecture., • Strong understanding of computer science fundamentals including data structures, algorithms, and design patterns., • Familiarity with relational and/or NoSQL databases., • Hands-on experience with version control tools (e.g., Git)., • Exposure to agile development methodologies., • Experience with testing practices (unit, integration, and end-to-end testing).Preferred Skills:, • Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes)., • Familiarity with cloud services (e.g., AWS, Azure, GCP)., • Knowledge of CI/CD pipelines and DevOps practices., • Experience with front-end technologies (e.g., React, Angular, Vue.js) if applicable to the role., • Prior involvement in codebase migration, scalability improvements, or system re-architecture.Benefits:, • Full-time role with flexible work options., • Opportunities for professional development and career growth., • Role may involve technical mentorship or leadership responsibilities.

Job DescriptionRefer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. ----------------------------------------------------------------------------------------------------------------------------------------------- Desktop Support Lead/Technical Manager, Trading Floor (Must come out of Hedge funds or Banking) Location: Manhattan, NY Salary: 180,000 to 200,000 + Bonus Must have the following: High traffic trading floor or similar environment, strong automation with PowerShell or Python, Windows enterprise experience, proven team leadership on a small technical team. Will manage a team of 6 and growing. About the role: Our client is hiring a Desktop Support Lead to be the senior-most technical resource on a high-demand floor, with a mix of 70% hands-on work and 30% team leadership responsibilities. You will blend automation, service excellence, and people leadership to keep a fast-moving trading environment running smoothly. Candidate will interact onsite and remotely with users to provide support with workstation applications such as Microsoft Office, Access Management via Windows Active Directory/Group Policy, remote access assistance and hardware issues whilst leading a team of technical engineers. • Ensure that incidents and service requests are resolved as per SLA;, • Lead the deployment of technical desktop technologies in both local and global projects;, • Prepare and perform appraisal reviews for team members, including salary communications;, • Lead regional team to provide top-tier customer service to the user base, ensuring that global standards are applied across region regardless of;, • Manage team absences, including holiday and sick days. Must be able to manage conflict, performance management and absences that are exceeding acceptable levels;, • Ensure that all working practices are adhered to and, where required, all supporting documentation is fit for purpose;, • Oversee the regional office-expansions/fit-outs, liaising with the project and other Technology teams, as well as supporting internal TSD staff to deliver the final estate;, • Coordinate delivery, installation, moves and changes of end user's computer equipment and peripherals;, • Provide consultation and engagement on complex incidents and projects;, • Establish a strong and collaborative relationship with business streams;, • Coordinate the operational acceptance of new services and technologies to the business; Required Qualifications: • Detailed knowledge and experience in a Microsoft environment supporting Windows 10/11, Windows Server 2012+, Office Suite, including Office 365, and Azure, including SharePoint;, • Ability to automate using Python and or PowerShell., • Detailed knowledge and experience with Active Directory, Group Policy, remote access solutions, including Horizon View, VMware vSphere, software packaging, and deployment;, • Detailed knowledge and experience installing, troubleshooting, and managing desktop hardware;, • Ability to handle multiple tasks with changing priorities and capable of handling frequent interruptions positively;, • Strong analytical, prioritizing, interpersonal, and problem-solving skills;, • Strong verbal and written communication skills;, • Demonstrated collaborative skills and ability to work well within a team;, • Ability to work in a fast-paced and deadline-oriented environment;, • Self-motivated with critical attention to detail and deadlines;, • Demonstrated interest in learning about new and emerging technologies;, • Self-directed learner and ability to find solutions to problems they have not encountered before;, • Degree in Computer Science, Engineering or related field or experience;, • Minimum 3 years' experience in supervision or management of technical support teams Nice to have: Desired experience in the following areas a plus: • Network;, • Linux environment;, • Atlassian administration Desktop support leader, regional team lead, Windows 10, Windows 11, Active Directory, Group Policy, Office 365, Azure, SharePoint, PowerShell, Python, VMware vSphere, Horizon View, software packaging, software deployment, hardware troubleshooting, SLA, trading floor, Manhattan, financial services, end user support, automation, incident management, service requests, Office suite, access management, remote access, virtual desktops, physical desktops, team leadership, appraisal reviews, customer service, documentation, office expansions, fit outs, moves, changes, peripherals, Windows Server, Azure AD, KPIs, ticketing systems.

Job DescriptionIT Director, Direct-Hire Location: New York City, NY (Maiden Lane / Wall Street) Work Model: Onsite 5 days a week for the first 60 days; transitioning to a hybrid model of 4 days onsite per week thereafter. Additional Locations Supported: Manhattan, NY; Irvine, CA; Miami, FL; PA About the Role We are seeking a hands-on, business-minded IT Director for our client to regain control of their IT operations, reduce the overdependence on outsourced vendors, and build a proactive, scalable technology function. In this role, you will be the strategic and operational leader of our technology environment. You will be tasked with stabilizing current IT operations, leading a secure cloud transformation, and driving the automation of manual legal and business workflows. The ideal candidate is a "straight-talker" who can bridge the gap between complex infrastructure concepts and practical business solutions, collaborating effectively with attorneys, support staff, and firm leadership. Key Responsibilities Strategic Leadership & Transformation • Develop and own a scalable technology roadmap that aligns with the firm’s growth and long-term vision., • Transition the IT department from a reactive support model to a proactive, service-oriented function., • Create and maintain comprehensive IT documentation, including application inventories, hardware/software update roadmaps, ticket tracking trends, and security action plans., • Provide clear, jargon-free reporting to firm leadership regarding IT priorities, project statuses, and systemic issues. Vendor & Operations Management • Take ownership of outsourced IT and cybersecurity vendor relationships, holding them accountable to SLAs and contract terms., • Bring critical operational knowledge back in-house to reduce over-reliance on external managed service providers., • Oversee daily IT operations, managing internal staff (including a long-tenured IT Manager and support personnel) while fostering a collaborative, accountable team culture. Process Automation & Systems Integration • Evaluate current disparate systems across multiple offices and implement a centralized, standardized structure., • Drive workflow automation to solve highly manual legal and administrative processes, including new matter intake, conflict checks, client/matter setup, and complex billing workflows., • Connect multiple existing applications to eliminate duplicate data entry and manual scanning/editing. Infrastructure, Cloud & Cybersecurity • Lead the firm’s transition to a secure, cloud-based infrastructure, leaning heavily into the Microsoft and Azure ecosystems., • Oversee infrastructure operations, ensuring high application visibility, reliability, and system performance., • Manage modern device management initiatives, including Intune and MDM/MAM deployments., • Ensure rigorous cybersecurity oversight, implementing necessary security actions following cyber assessments and penetration tests.Required Skills & Experience, • Balanced Technical Expertise: A blended background consisting of roughly 50% application engineering/management and 50% infrastructure oversight., • Cloud & Infrastructure: Proven hands-on experience driving cloud transformation, specifically within Microsoft Azure, Microsoft 365, Intune, and MDM/MAM environments., • Workflow Automation: Strong background in systems integration and business process automation, ideally within a legal or professional services environment., • Project Management: Demonstrated ability to run technical project delivery. (PMP certification is a plus, but practical delivery experience is required)., • Vendor Negotiation: Strong track record of managing enterprise vendors, auditing contracts, and ensuring firm-first accountability., • Helpdesk Management: Experience modernizing helpdesk/ticketing systems, implementing preventative maintenance, and tracking issue trends. Powered by JazzHR Cb4n2rHCwg

Job Description Our mission-driven client is seeking an experienced, collaborative Director of IT Operations to lead the delivery of secure, reliable, and responsive technology services that support the organization’s important work. About Our Client We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Information Technology (IT) team, you will report to the Chief Technology Officer. As the Director of IT Operations, you ensure that our client's technology services are secure, reliable, scalable, and responsive to the needs of the organization. You lead the teams, processes, vendors, and technology platforms that keep the organization operating effectively, enabling clinicians, researchers, educators, and staff to focus on delivering mission impact. In addition, you own operational outcomes across infrastructure, end-user computing, service delivery, cybersecurity operations, cloud services, and vendor management. You are responsible for maintaining high service levels, reducing operational risk, optimizing technology investments, and continuously improving the efficiency and effectiveness of IT operations through leadership, governance, and execution. This is an exempt, full-time position and requires a minimum of four (4) days per week in the office, as determined by your supervisor in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: • Ensure the availability, performance, security, and reliability of our client's technology infrastructure, including networks, telecommunications, collaboration platforms, end-user computing, cloud services, data center resources, and operationally supported applications., • Maintain a secure and compliant technology environment by implementing and continuously improving access controls, identity governance, security monitoring, risk management practices, data protection safeguards, and change management processes., • Translate organizational priorities into operational technology capabilities by partnering with IT and business leaders to develop and execute technology roadmaps that support our client's clinical, research, educational, and administrative objectives., • Establish and maintain operational disciplines that enable resilient service delivery, including business continuity, disaster recovery, incident response, crisis management, service management, and change management practices., • Serve as the steward of IT Operations investments, ensuring technology resources, vendors, contracts, infrastructure, and services are managed efficiently, aligned with organizational priorities, and deliver measurable value., • Define, monitor, and improve operational performance through meaningful metrics and service management practices, leveraging ITIL principles and other industry frameworks to drive service quality, user satisfaction, operational efficiency, and continuous improvement., • Build and lead a high-performing IT Operations organization by establishing clear expectations, developing team capabilities, fostering accountability, and creating a culture of service excellence., • Perform additional job-related duties as assigned. You Have: • Bachelor’s degree in computer information systems or relevant equivalent., • 7 years working experience in a senior IT role., • Experience with IT infrastructure strategic planning and development, project management, and/or policy & procedure development., • Experience with network infrastructure technologies and cybersecurity controls., • Experience in Microsoft 365 environments, Hybrid Windows and MacOS endpoint environments, Cisco or similar Networking equipment, Windows and Linux server environments, Cloud architecture (AWS or Azure) and server virtualization (VMWare or similar). Experience in Google Workspace environments is preferred., • Experience managing subject matter experts and cross-functional IT professionals. Special Considerations: The anticipated salary range for this position is $170,000 - $190,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

We are seeking a highly motivated and experienced Senior Vice President – Senior Lead, AI, Data & Full Stack Engineering Platforms to lead our Retail and Wealth Risk Engineering organization within Enterprise Risk Technology. This is a senior leadership role responsible for defining strategy, architecture, and execution of enterprise-scale AI platforms, Java/Python engineering ecosystems, data platforms, and full-stack solutions. \n The ideal candidate is a forward-thinking technology leader who can effectively manage Product based (PDLC) teams comprising ~15+ engineers, including AI-assisted/virtual developers (e.g., Devin.AI, GitHub Copilot). You will be instrumental in driving the adoption of AI Product Development Lifecycle (AI PDLC), regulatory-compliant data platforms, cloud-native engineering, and scalable GenAI solutions, while aligning technology initiatives with Retail Risk, Wealth Risk, and regulatory programs such as CCAR (14Q/14A/14M) and FDIC \n Responsibilities: \n\n • Lead multiple Agile Scrum teams comprising ~10+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities.\n, • Define and execute the enterprise strategy for Java/Python engineering, AI agent platforms, full-stack applications, and data platforms, aligned with Retail and Wealth Risk objectives.\n, • Serve as the senior architect and technical authority for enterprise-scale AI agents, full-stack applications, data engineering platforms, and microservices-based solutions, ensuring scalability, resilience, security, and maintainability.\n, • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM).\n, • Lead development of high-volume data pipelines and data federation layers using Spark, PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics.\n, • Architect and oversee GenAI agent ecosystems utilizing enterprise LLM platforms, Agentic AI frameworks, and Human-in-the-Loop (HITL) controls to ensure explainability, auditability, and compliance.\n, • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails.\n, • Lead microservices and cloud-native architecture using Spring Boot, FastAPI, React, Angular, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability, scalability, and performance.\n, • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams.\n, • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, observability, resiliency, and auditability, aligned with enterprise governance processes and regulatory expectations.\n, • Act as a key partner to Risk, Finance, Data, Compliance, and Retail Banking stakeholders, translating regulatory and business requirements into scalable engineering solutions.\n, • Build and manage strong relationships with senior business leaders, leading strategic discussions, requirement gathering, roadmap planning, and cross-functional alignment.\n, • Establish engineering standards, governance frameworks, architecture patterns, and best practices across teams, ensuring consistency, quality, reuse, and operational excellence.\n, • Mentor engineering managers, architects, and senior engineers, fostering a culture of innovation, accountability, AI adoption, and continuous improvement.\n, • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, and escalating control issues with transparency.\n\n \n Preferred: \n\n • Strong exposure to Retail Lending, Credit Risk, Wealth Risk, and Regulatory platforms, including CCAR (14Q/14A/14M), FDIC reporting, and enterprise risk aggregation.\n, • Deep Core Systems expertise in Retail Banking domains such as Cards, Mortgages, Consumer Lending, Wealth Lending, Deposits, Finance, and Risk Data Platforms.\n, • Strong business domain knowledge with experience working directly with Retail Banking, Wealth Management, Risk, Finance, and Data organizations, including understanding of business processes, architecture, and infrastructure.\n, • Experience with containerization technologies (Docker, Kubernetes), cloud-native engineering, and DevSecOps practices.\n, • Knowledge of AI Product Development Lifecycle (AI PDLC), Responsible AI, Model Risk Management (MRM), and model governance frameworks.\n, • Experience implementing enterprise-scale AI Agents, GenAI solutions, Retrieval Augmented Generation (RAG), Agentic AI frameworks, and Human-in-the-Loop (HITL) controls.\n, • Experience with Data Mesh, Data Products, Data Federation, Metadata Management, Data Catalogs, and enterprise data governance programs.\n, • Exposure to cloud platforms (AWS, Azure, GCP, Databricks) and modern enterprise engineering ecosystems.\n, • Relevant industry certifications such as AWS, Azure, GCP, Kubernetes, Databricks, AI/ML, Architecture, or Cloud Engineering certifications.\n\n \n Education: \n\n • Bachelor’s degree/University degree or equivalent experience.\n\n \n ------------------------------------------------------ Job Family Group: Technology\n ------------------------------------------------------ Job Family:Applications Development\n ------------------------------------------------------ Time Type:Full time\n ------------------------------------------------------ Primary Location:Rutherford New Jersey United States\n ------------------------------------------------------ Primary Location Full Time Salary Range:$176,720.00 - $265,080.00\n \n In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. \n ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.\n ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.\n ------------------------------------------------------ Anticipated Posting Close Date:Nov 12, 2026\n ------------------------------------------------------ Automated Processing and AI\n \n We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. \n \n Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. \n \n Illinois residents – AI Notice and Right \n ------------------------------------------------------ \n Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. \n \n If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. \n View Citi’s EEO Policy Statement and the Know Your Rights poster.

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Exp. Required: 8+ Year’s \n \n ROLE OVERVIEW \n We are seeking a seasoned Solution Architect to lead the design and delivery of enterprise-grade AI Agent and integration solutions. This role sits at the intersection of AI strategy and enterprise systems engineering — translating complex business requirements into scalable, governed, and observable agentic architectures. You will work closely with product, data, and engineering teams to define blueprints that power next-generation AI capabilities across our fintech platform. \n \n KEY RESPONSIBILITIES \n\n • Architect end-to-end AI Agent solutions leveraging LLM and Agentic frameworks (LangChain, AutoGen, CrewAI) integrated with enterprise systems.\n, • Design API-first and event-driven integration architectures ensuring reliability, scalability, and low-latency across services.\n, • Define governance frameworks for AI agents including access control, audit trails, policy enforcement, and responsible AI guardrails.\n, • Establish observability standards using LaunchDarkly, feature flagging strategies, and DevOps pipelines for AI-driven systems.\n, • Collaborate with stakeholders across Engineering, Data, Product, and Risk to align architecture decisions with business outcomes.\n, • Create and maintain Technical Solution Architecture documentation, including architecture decision records (ADRs), data flows, and system diagrams.\n, • Evaluate and recommend emerging AI tools, LLM providers, and orchestration platforms for enterprise adoption.\n, • Provide technical leadership and mentoring to engineering squads implementing agentic solutions.\n\n \n REQUIRED SKILLS & EXPERIENCE \n\n • 8+ years of Solution Architecture or Technical Architecture experience in enterprise environments.\n, • Deep expertise in AI Agent Architecture and Large Language Model (LLM) ecosystems.\n, • Hands-on experience with Agentic Frameworks — LangChain, AutoGen, CrewAI, or equivalent.\n, • Strong background in Enterprise Integration Architecture: RESTful APIs, event-driven systems (Kafka, Event Grid), microservices.\n, • Proficiency with observability tooling and feature flagging platforms, including LaunchDarkly.\n, • Demonstrated ability to design AI governance and policy frameworks in regulated industries.\n, • Experience in financial services, fintech, or banking environments preferred.\n, • Excellent communication skills with the ability to present complex architectures to executive and technical audiences.\n\n PREFERRED QUALIFICATIONS \n\n • Cloud architecture certifications (AWS, Azure, GCP) with AI/ML specialization.\n, • Experience with MLOps tooling, model registries, and LLMOps pipelines.\n, • Familiarity with compliance frameworks: SOC2, FFIEC, model risk management (SR 11-7).\n, • Prior experience contributing to enterprise AI Centers of Excellence (CoE).\n\n

Top-Tier Asset Management firm in Midtown, Manhattan is seeking an Enterprise Developer to support their Investment and Trading Technology space! \n \n Responsibilities: \n \n\n • Develop, enhance, and maintain enterprise applications supporting critical business operations.\n, • Build and support software solutions using C#, .NET, ASP.NET, SQL Server, and modern web development frameworks.\n, • Work across front-end and back-end technologies to deliver efficient, user-friendly applications.\n, • Participate in technology modernization initiatives, including application upgrades, system conversions, and third-party platform integrations.\n, • Support the integration of internal applications with external software platforms and data sources.\n, • Develop automated workflows and tools that improve operational efficiency, reporting, and data management.\n, • Contribute to cloud-based development projects, including the enhancement and migration of applications within Microsoft Azure.\n, • Collaborate with business users, technology colleagues, and senior stakeholders to evaluate requirements and develop practical technical solutions.\n, • Troubleshoot application issues, optimize system performance, and provide ongoing production support.\n, • Follow established software engineering standards, including code reviews, testing, documentation, version control, and deployment procedures.\n, • Utilize modern development tools, including AI-assisted coding technologies, to improve development efficiency and solution quality.\n\n \n Qualifications: \n \n\n • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience.\n, • Minimum of 5 years of professional experience developing enterprise-level software applications.\n, • Strong hands-on development experience with C#, .NET/.NET Core, ASP.NET, and SQL Server.\n, • Experience building web-based applications using modern front-end technologies such as React, Angular, Blazor, or comparable frameworks.\n, • Strong knowledge of SQL, database development, stored procedures, and application integration.\n, • Experience developing APIs, connecting disparate systems, and supporting data-driven applications.\n, • Familiarity with Microsoft Azure or similar cloud environments.\n, • Experience with source control, automated deployments, CI/CD pipelines, and modern development practices.\n, • Strong analytical, troubleshooting, and problem-solving capabilities.\n, • Ability to work independently while collaborating effectively with both technical and nontechnical colleagues.\n, • Excellent communication skills and a commitment to producing high-quality software solutions.\n, • Previous software development experience within financial services, investment management, banking, or a related industry.\n, • Exposure to enterprise financial applications, investment technology, or operational processing systems.\n, • Experience integrating third-party platforms and supporting large-scale software implementations.\n, • Knowledge of application modernization, service-oriented design, or microservices architecture.\n, • Familiarity with business intelligence, reporting tools, and workflow automation technologies.\n, • Experience with Microsoft Power Platform, Azure DevOps, or comparable development and deployment tools.\n, • Understanding of financial data, transaction processing, or enterprise accounting workflows.\n, • Experience using AI-powered development tools to streamline coding, testing, and documentation.\n, • Relevant technical certifications are a plus.\n\n

AI Engineer 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Staff AI Engineer role (Remote Eligible)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n Basic Qualifications: \n\n • 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\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (AI Foundations)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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\n \n \n \n \n Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers. \n As a Sr Lead Cybersecurity Architect at JPMorganChase within Cybersecurity and Technology Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. \n \n Job responsibilities \n\n • Guide evaluation of current cybersecurity principles, processes, and controls, and lead evaluation of new technology using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions where appropriate\n, • Leverage enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements\n, • Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors, serving as a function-wide subject matter expert in one or more areas of focus\n, • Partner with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability\n, • Contribute actively to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the software development lifecycle\n, • Drive reuse-first adoption of AI-assisted security validation within software development lifecycle and toolchain routines, improving control testing, remediation quality, and traceability and auditability in line with resiliency expectations\n\n \n Required qualifications, capabilities, and skills \n\n • Formal training or certification on cybersecurity architecture concepts and 5+ years applied experience\n, • Hands-on experience conducting threat modeling, attack-surface analysis, or security architecture assessments\n, • Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity\n, • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations\n, • Advanced expertise in one or more programming languages and/or applications, with advanced knowledge of cybersecurity architecture, applications, and technical processes within one or more technical disciplines (e.g., public cloud, AI/ML, mobile)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Ability to evaluate current and emerging technologies to select or recommend the best solutions for future-state architecture\n, • Experience effectively communicating complex security concepts to senior business leaders and non-technical stakeholders\n\n \n Preferred qualifications, capabilities, and skills \n\n • Experience securing enterprise cloud and software-as-a-service environments, including assessing architecture, data flows, identity, access, integrations, and security controls across third-party services\n, • Security architecture experience across major cloud platforms, including AWS, GCP, and Microsoft Azure, with an understanding of cloud-native security controls and shared responsibility models\n, • Experience evaluating software-as-a-service integrations, APIs, OAuth applications, service principals, application identities, and machine-to-machine authentication from a security and risk perspective\n, • Experience securing AI/ML and large language model-enabled applications, agents, and emerging AI capabilities, including risks associated with data access, permissions, external integrations, and third-party model dependencies\n, • Experience developing security control baselines, architecture standards, threat models, assessment frameworks, and reusable security patterns across cloud and software-as-a-service technologies\n, • Familiarity with established security frameworks and methodologies such as NIST, MITRE ATT&CK, STRIDE, OWASP, and zero-trust principles\n\n #CTC ABOUT US\n \n \n\n \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n \n \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \n \n \n\n \n ABOUT THE TEAM\n \n \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n 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: \n • \n 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 \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n 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) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n 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 \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n 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 \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 4 (Gen AI Platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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 \n • \n 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. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n 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 \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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/ML Engineer \n Location: New York, NY \n Compensation: $180,000 – $250,000 base + bonus + comprehensive benefits (including pension, 401(k), and more) \n Industry: Global P&C Insurance \n \n About the role and client \n James Search Group is excited to partner with a leading global property and casualty insurance carrier to identify a Senior AI/ML Engineer to join a high-impact enterprise data and artificial intelligence team. This group is at the forefront of transforming how the insurance industry leverages data, analytics, and emerging AI technologies to enhance decision-making and drive profitability across the organization. \n \n As a key contributor, you will design and implement scalable machine learning and AI-driven solutions to solve complex business challenges. This role is ideal for a hands-on, innovative professional passionate about delivering real-world business impact through advanced data modeling and machine learning strategies. \n \n Key Responsibilities: \n\n • Develop and deploy end-to-end AI/ML models—including classification, forecasting, uplift modeling, and fine-tuning of foundational models.\n, • Identify use cases for AI across areas such as underwriting, claims, risk evaluation, and customer experience.\n, • Work cross-functionally with technical and business stakeholders to deliver actionable insights and scalable solutions.\n, • Translate sophisticated AI/ML outputs into clear business recommendations for non-technical stakeholders.\n, • Stay current with the latest trends in AI/ML, incorporating new tools and methodologies to enhance the organization’s data capabilities.\n\n \n Required Qualifications: \n\n • Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or a related field.\n, • Minimum of 5 years of hands-on experience in data science and machine learning, including techniques like regression, decision trees, neural networks, and ensemble models.\n, • At least 2 years of experience working with large language models (LLMs) and foundational AI systems.\n, • Strong programming skills in Python and SQL, with experience using popular data science libraries and frameworks.\n, • Background in building and deploying ML models in cloud environments (e.g., Azure, AWS).\n, • Proficient in handling and integrating large structured and unstructured datasets.\n, • Strong analytical skills with a demonstrated ability to extract actionable insights from complex data.\n, • Excellent verbal and written communication skills; capable of simplifying complex technical concepts for business audiences.\n\n \n Preferred Qualifications: \n\n • Expertise in natural language processing (NLP) and natural language understanding (NLU).\n, • Experience leading multi-functional AI projects or initiatives.\n, • Background in insurance, particularly within claims, underwriting, or risk analytics.\n, • Familiarity with actuarial data, insurance KPIs, or related industry-specific datasets.\n, • Collaborative mindset with the ability to drive change and build consensus.\n\n \n Apply now to take the next step in a high-impact, forward-thinking role within a dynamic and innovative insurance environment.

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n \n 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. \n \n \n What You’ll Do: \n \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 DescriptionDescription 3rd Shift working Wednesday/Thursday/Friday/Saturday/Sunday 11PM to 8AM. This Work Schedule includes working Weekends and Holidays Onsite In The NYC Area. Be Part of the Team Behind the Game Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile, Swiss Army Knife Network Systems Administrator to support enterprise-class data centers and ensure seamless network operations. This role focuses on ensuring high availability and performance of network infrastructure while contributing to game-day success. The ideal candidate will be a proactive and adaptable professional with a passion for innovation, an ability to multitask and reprioritize in real-time and a commitment to delivering excellence in a fast-paced, mission-critical environment. This candidate will be proficient in supporting server and cloud environments but should also have experience with networking as this team will be supporting a wide array of technologies to support the company infrastructure and game day operations. If you thrive under pressure and excel at managing complex technical challenges, this is your opportunity to make an impact. Working for Blue Mantis at this customer, you’ll operate in a high-pressure, high-reward environment, directly impacting game-day success and ensuring a successful fan experience. Bring your technical prowess, leadership and passion for innovation to the league’s fast-paced and mission-critical IT environment. Key Responsibilities • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience in NOC operations with expertise in Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities.Preferred Skills, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment. BenefitsWhat You’ll Gain • The unique opportunity to be part of the league’s technological foundation., • A challenging, high-energy workplace with direct impact on game-day success., • Hands-on experience with cutting-edge technologies in a mission-critical environment., • Opportunities for growth, learning, and professional development. Please note: This range is based on our market pay structures. However, individual salaries and hourly pay rates are determined by a variety of factors including, but not limited to business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.

Job Description Job Description/ Responsibilities: • Design and maintain automation frameworks, • Build API, UI, and E2E test suites, • Integrate tests into CI/CD, • Collaborate with developers and product teams, • Execute functional, regression, and performance testing, • Perform root cause analysis Essential Skills: • Java automation experience, • Selenium or/and Playwright, • API testing tools (Rest Assured/Postman), • SQL & Git, • CI/CD tools, • Agile experience Desirable Skills: • Performance testing (JMeter), • Azure knowledge (AZ-900 certification is a plus), • Docker, • BDD tools (Cucumber), • Financial domain knowledge What are the top 3 skills required for this role? 1. Java automation experience, 2. Selenium or/and Playwright, 3. API testing tools (Rest Assured/Postman)

Job Description Job Title: Senior / Lead .Net Developer Work Location: New York, NY 10003 Contract duration: 6 months Interview Process (Is face to face required?): Yes Must Have Skills ASP.NET Core Web API on IIS Entity Framework Core (advanced migrations, temporal tables, schema isolation) Strong UX sensibility. Able to collaborate with operator SMEs and achieve mentalmodel parity with legacy screens Performance Eligible to workimization Query Store, execution plan analysis, wait statistics, index tuning Nice to have skills SQL Server Service Broker conversation lifecycle, activation, cross instance endpoints, certbased auth Onprem Azure DevOps pipelines (YAML, selfhosted agents) Detailed Job Description ASP.NET Core Web API on IIS Entity Framework Core advanced migrations, temporal tables, schema isolation DomainDriven Design in practice aggregates, domain events, anticorruption layers API design RESTful, contractfirst, versioned, paginated including API Gateway BFF patterns CQRS MediatR, durable background jobs Hangfire, realtime push SignalR Component architecture, lazyloaded modules, reactive forms, RxJS State management with NgRx realtime UI via SignalRWebSocket Strong UX sensi Minimum years of experience: 10 years Top 3 responsibilities you would expect the Subcon to shoulder and execute Lead major incident bridges, restoration coordination, and postincident reviews with ConEd leadership. Ensure strict adherence to SLAs, Regulatory expectations, and internal governance standards. Provide deep expertise in ASP.NET ASP.NET Core applications used in operational workflows.

Job Description • 10 years of IT experience with at least 5 years leading enterprise CRM or Contact Center implementation projects., • Proven experience delivering large-scale Customer Experience (CX), Contact Center, or Customer Service transformation initiatives., • Strong hands-on experience implementing Microsoft Dynamics 365 Customer Service., • Strong experience implementing Genesys Cloud CX or Genesys Engage contact center solutions., • Experience integrating CRM platforms with telephony, CTI, IVR, omnichannel communications, and workforce optimization solutions., • Strong understanding of contact center operations including call routing, IVR design, agent desktop, case management, knowledge management, and service workflows., • Knowledge of REST APIs, Azure Integration Services (Power Automate, Power Apps) middleware platforms, event-driven integration, and enterprise integration patterns., • Experience delivering cloud-based SaaS implementations using Azure and Microsoft cloud technologies., • Strong understanding of Agile, Scrum, DevOps, CI/CD pipelines, and modern software delivery methodologies., • Familiarity with security, privacy, and compliance standards applicable to enterprise customer service platforms., • Strong written and verbal communication skills with experience preparing executive reports and project status updates., • Experience in the delivery healthcare, Medicaid, or government customer service implementations is preferred.

Job Description Genesis10 is currently seeking an Agile Coach for a hybrid position with a Global Financial Institution located in Charlotte, NC, Plano, TX and Jersey City, NJ. This is a 12+ month contract opportunity. The Agile Coach is responsible for enabling teams, leaders, and Agile Release Trains (ARTs) to adopt and continuously improve Lean-Agile principles and practices. This role serves as a change agent, promoting an Agile mindset and coaching teams toward high performance to drive measurable improvements in delivery and business outcomes. This position requires a hybrid schedule with a minimum of 3 days per week onsite. Responsibilities: • Coach teams, Scrum Masters, Product Owners, and leaders on Agile principles, frameworks, and best practices, • Guide organizations through Agile transformation initiatives and maturity improvements, • Promote Lean-Agile values, servant leadership, and continuous learning, • Support adoption of SAFe, Scrum, Kanban, and flow-based delivery practices, • Develop Agile capabilities across teams and leadership levels, • Assess team and program maturity and create improvement plans, • Coach teams on backlog management, prioritization, estimation, planning, and execution, • Facilitate cross-team collaboration and alignment across Agile Release Trains, • Support PI Planning preparation, execution, and follow-through, • Mentor Scrum Masters to improve effectiveness and develop coaching capabilities, • Identify systemic impediments impacting multiple teams or value streams, • Coach leaders on organizational design, value stream optimization, and operating models, • Drive consistency in Agile practices while allowing flexibility where appropriate, • Support governance, risk, compliance, and change management activities without compromising agility Requirements: • Bachelor's degree in Technology, Engineering, or related field, • 5+ years of experience in Agile delivery environments, • 3+ years of experience coaching multiple Agile teams or Agile Release Trains, • Deep knowledge of Agile frameworks including Scrum, Kanban, Lean, and SAFe, • Demonstrated success leading Agile transformation initiatives, • Experience coaching leadership teams and senior stakeholders, • Strong facilitation, conflict resolution, and organizational change management skills, • Expertise with Agile tooling such as Jira, Jira Align, and Azure DevOps, • Certified Agile Coach (ICP-ACC, ICP-ENT), • Certified Scrum Professional (CSP), • Experience with Microsoft Office Desired skills: • Demonstrated use of Copilot Chat (AI) prompt patterns for story mapping and backlog refinement (e.g., Jeff Patton-style story maps) Pay range: $89.00 - $97.00 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years., • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years., • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.), • Behavioral Health Platform, • Medical, Dental, Vision, • Health Savings Account, • Voluntary Hospital Indemnity (Critical Illness & Accident), • Voluntary Term Life Insurance, • 401K, • Sick Pay (for applicable states/municipalities), • Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Title: QA Test Engineer We are looking for a QA Test Engineer to ensure the quality, reliability, and performance of web and enterprise applications. The ideal candidate will have experience in manual and/or automated testing, test case creation, defect tracking, and working in Agile environments. You will collaborate closely with developers, business analysts, and product teams to identify issues early and deliver high-quality software. Key Responsibilities: • Design, develop, and execute test plans, test cases, and test scripts., • Perform functional, regression, integration, and system testing., • Identify, document, and track software defects using defect management tools., • Collaborate with cross-functional teams to resolve issues and improve product quality., • Develop and maintain automated test scripts where applicable., • Participate in Agile ceremonies, including sprint planning, reviews, and retrospectives., • Ensure software meets business, functional, and performance requirements. Required Skills: • 3 years of experience in Software QA/Testing., • Strong understanding of SDLC, STLC, and Agile methodologies., • Experience with test automation tools such as Selenium, Playwright, or Cypress., • Knowledge of API testing using Postman or similar tools., • Familiarity with SQL and defect tracking tools (JIRA, Azure DevOps, etc.)., • Excellent analytical, troubleshooting, and communication skills.

Job Description Agile Coach & Scrum Master – Retail CRM Delivery Context Mission Context Support our client’s retail CRM transformation and global rollout. The role blends Agile coaching with operational delivery management to ensure program streams meet milestones and governance standards. Key Capabilities • Agile Leadership: Coaching teams and stakeholders on Scrum, SAFe, and Kanban; driving maturity uplift and continuous improvement., • Delivery Management: Facilitation of ceremonies, backlog refinement, dependency resolution, and sprint predictability tracking., • Retail CRM Expertise: Hands-on experience with Salesforce Commerce Cloud, ServiceCloud, MarketingCloud, and POS integration., • Governance & Reporting: Risk/issue management, milestone tracking, and transparent reporting using Jira/Confluence dashboards., • Change Enablement: Aligning IT and business streams, supporting UAT coordination, and managing stakeholder communication.Profile, • Proven track record in Agile delivery for CRM programs (Salesforce, Adobe Commerce, Dynamics)., • Strong facilitation and conflict-resolution skills; pragmatic and operational mindset., • Comfortable working in distributed, multi-time-zone environments with retail stakeholders.Qualifications, • Certifications: Professional Scrum Master (PSM I/CSM), SAFe Agilist or SPC, Agile Project Management., • Tools: Jira, Confluence, Azure DevOps; experience with Agile metrics (burndown, CFD, throughput)., • Education: Engineering or IT background; MBA or equivalent is a plus., • Languages: English fluent; French desirable for global coordination. Powered by JazzHR ZfJKpAPDTN

Job Description Job Summary: We are seeking a skilled Microsoft Power BI Developer with a reinsurance industry background to join our dynamic team and transform data into actionable intelligence. In this role, you will design, develop, and maintain business intelligence solutions using Power BI, Databricks, and dbt. You will collaborate closely with stakeholders to understand reporting needs and deliver high-quality dashboards and reports that drive data-driven decision-making. Technical Skill Requirements: • Business Intelligence: Power BI, Azure Databricks, Azure Analysis Services (SSAS), Azure Data Lake Analytics, Azure Data Lake Store (ADLS), Power Apps, SSRS, DAX, Power Query (M Language)., • Database Technologies: Azure SQL Server, Azure SQL Database, MongoDB. Experience Required: Power BI Reporting • Design and develop business intelligence dashboards, analytical reports, and data visualizations using Power BI, ensuring accessibility for various user groups., • Expertise in architecting and developing Power BI solutions, configuring data security, managing licenses, and sharing reports within the organization., • Proficient in writing parameterized queries for generating tabular reports, sub-reports, expressions, functions, and advanced reporting features such as drill-down, drill-through, scorecards, and paginated reports., • Develop Power BI dashboards by creating multiple DAX-based measures for various user groups., • Utilize Power Pivot and Power View to build data analysis prototypes., • Create interactive reports that provide actionable insights and facilitate informed decision-making. Data Engineering:, • Hands-on experience with Microsoft BI/Azure BI solutions, including Power BI, Azure Databricks, Azure Analysis Services, and SQL Server Reporting Services (SSRS)., • Strong understanding of Azure big data technologies, including Azure Data Lake Analytics and Azure Data Lake Store., • Experience developing notebooks in Databricks for managing data through Medallion architecture (raw staged curated)., • Expertise in data warehouse development, applying both normalization and de-normalization techniques., • Experience developing Azure Analysis Services tabular databases, deploying them in Microsoft Azure, and scheduling cubes via Azure Automation Runbook., • Extensive experience in building tabular models, aggregations, KPIs, and measures. Key Responsibilities:, • Collaborate with business stakeholders to gather requirements and understand reporting needs., • Utilize Databricks and dbt to create gold-standard reporting objects for Power BI dashboards., • Design and develop interactive dashboards and custom reports using Power BI., • Build data models and execute data transformations using Power Query and DAX., • Ensure data accuracy and integrity through rigorous validation and quality checks., • Optimize Power BI reports for performance and usability., • Troubleshoot and resolve Power BI-related issues promptly., • Document processes, data sources, and report specifications for future reference. Basic Qualifications:, • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field., • Minimum 5 years of experience as a Power BI Developer or similar role., • Strong proficiency in Power BI, including Power Query, DAX, and data modeling., • Experience working with SQL and relational databases., • Solid understanding of data visualization best practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills for stakeholder collaboration., • Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications:, • Experience with other BI tools (IBM Cognos, Tableau, QlikView) is a plus., • Reinsurance industry knowledge is preferred., • Expertise in Azure cloud services and data warehousing concepts., • Strong knowledge of Databricks and dbt., • Certification in Microsoft Power BI or related technologies. Must-Have Skills:, • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field., • Minimum 5 years of experience in Power BI development., • Reinsurance industry knowledge., • Strong proficiency in Power BI, Power Query, DAX, and data modeling., • Experience with SQL and relational databases., • Familiarity with other BI tools (IBM Cognos, Tableau, QlikView)., • Advanced knowledge of Azure cloud services and data warehousing., • Strong expertise in Databricks and dbt., • Certification in Microsoft Power BI or related technologies.

Job Description Azure Data Engineer Jersey City, NJ - hybrid 6 months Looking for a resource who has experience on Azure data Factory and Azure SQL. The resource will be working on Oracle Cloud Phase 3 entities including NYB and LF work. Summary: Designs and builds data solutions using Microsoft Azure technologies. Responsibilities: Develop data pipelines, implement data lakes, ensure data security and compliance. Skills: Azure certifications, experience with Synapse, Data Factory, and Databricks.

Job Description Pay Rate: $60.00 Location: ONSITE 3 days Newark, NJ (Day 1 Onsite) Duration: 6 months Role Title: Power BI Developer Fabric Power BI is mandatory Role Overview - They will help us get new implementations started, make updates and guide teams on updates to production reports, and triage challenges offering solutions based on experience. Candidate should: • Power BI (Desktop, Service), • DAX and Power Query (M), • Data modeling concepts, • Data warehousing (fact/dimension, star schema), • ETL/ELT processes, • Azure, Fabric, or cloud data platforms (preferred), • APIs and data integration tools, • Must have experience working in Microsoft Fabric to create Power BI reports., • Ability to communicate with business to gather requirements and translate into an immersive BI experience., • Ability to understand Target State BI Architecture plan and deliver components as we go., • Understand access, connections, and security models for data and report access., • Guide existing BI developers, oversee and verify delivery, train/upskill existing resources., • Understand best practices for Fabric/Power BI delivery implementations., • Collaborate with business stakeholders to gather and analyze requirements for BI solutions using Power BI and Microsoft Fabric., • Design and develop Power BI reports, dashboards, and data models to meet business needs., • Eligible to workimize Power BI solutions for performance, scalability, and usability., • Implement best practices for data visualization and user experience in Power BI., • Integrate and utilize Microsoft Fabric to enhance data connectivity and analytics workflows., • Performs unit testing to validate the accuracy and validity of reports and data integrity, • Stay updated with the latest Power BI features and industry trends.

Job DescriptionTitle: Cloud Engineer with Azure - Application Architect Location: Jersey City NJ Employment Type: Contract Compensation: Pay Range: $48.70-69.58 Per HR Description Engage in hybrid work setting in a regional location, focusing on multi-cloud environments. Design and operate scalable cloud architectures using leading cloud platforms. Implement infrastructure automation and provisioning pipelines. Ensure cloud security and compliance through robust control measures. Contribute to distributed systems architecture and large-scale compute orchestration. Collaborate with cross-functional teams to elevate cloud maturity. Key Responsibilities Design and build enterprise cloud platforms for long-term scalability and governance. Implement CI/CD toolchains for streamlined automation processes. Develop reusable patterns for efficient infrastructure management. Guide engineering groups in best practices for cloud operations. Define standards and reference architectures for cloud deployment. Qualifications Deep experience in operating within large-scale, enterprise cloud environments. Proven hands-on engineering across multiple cloud platforms. Mastery in Infrastructure as Code using automation tools. Strong background in distributed systems architecture. Experience implementing cloud security controls and compliance measures. Core Technologies Azure | AWS | GCP | Terraform | CI/CD Toolchains | Java | Python | Microservices | Container Orchestration Contact Authorization: By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy Benefits: Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks Onboarding Expectations: Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4 EEO Statement: Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement #LI-VP2

Job Description Summary: Hiring a Data & ML Engineer to support the person matching and identity resolution workflows of the MPI initiative, leveraging Microsoft Fabric, Synapse, and ML capabilities. This role involves creating data pipelines, cleansing and linking records, and operationalizing ML-based entity resolution models. Key Responsibilities: • Build data pipelines and ML workflows within Microsoft Fabric for entity matching and deduplication across data domains., • Implement and optimize MLOps pipelines (training, scoring, and retraining)., • Integrate data from multiple sources: CRM, EHRs, finance, HR, etc., • Develop reusable modules for fuzzy matching, rule-based, and ML-based identity resolution., • Collaborate with data scientists and SMEs to operationalize models using SynapseML, PySpark, or Azure ML. Required Experience: • 5 years of experience in data engineering and machine learning in the Azure ecosystem., • Proficient with Microsoft Fabric (Lakehouse, Pipelines, Notebooks), Synapse, and Azure ML., • Solid understanding of identity resolution techniques, especially ML-based approaches., • Strong programming skills in Python and PySpark., • Familiarity with data privacy, governance, and ethics in ML.

Job Description Overview East West Bank is seeking a highly experienced AI Governance to lead the design, implementation, and operationalization of the bank’s enterprise AI governance framework. This role is designed for a hands-on governance leader with deep expertise in AI governance, data governance, risk management, and regulatory compliance within highly regulated industries. The ideal candidate combines practical implementation experience with strong understanding of AI/ML technologies, enterprise controls, data risk, model risk, operational governance, and responsible AI practices. The role will partner across business, technology, data, legal, risk, compliance, audit, and operations teams to establish scalable governance processes supporting AI use cases from intake through production monitoring and enterprise adoption. This position is part of East West Bank’s Enterprise AI Strategy & Transformation organization, focused on scaling AI initiatives into governed, measurable, compliant, and enterprise-ready capabilities. Responsibilities • Lead the design and implementation of the enterprise AI governance framework, operating model, standards, controls, and governance processes., • Establish and operationalize governance processes for AI intake, inventory management, prioritization, risk assessment, technology gating, approval workflows, monitoring, issue remediation, and value realization tracking., • Drive governance activities across the full AI lifecycle including ideation, proof of concept, pilot, production deployment, monitoring, model review, and retirement., • Partner with business, technology, data, legal, risk, compliance, cybersecurity, and audit teams to ensure AI initiatives align with enterprise governance standards and regulatory expectations., • Define governance controls for AI-enabled solutions including data quality, lineage, privacy, explainability, human oversight, auditability, retention, access governance, and operational resiliency., • Establish AI governance reporting, dashboards, metrics, and executive-level transparency related to AI adoption, business value, risk exposure, control effectiveness, and remediation progress., • Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions., • Evaluate AI technologies, platforms, and vendors to ensure alignment with enterprise architecture, security, compliance, operational, and risk standards., • Support regulatory, audit, model risk, and enterprise risk management activities related to AI and advanced analytics environments., • Translate governance policies into repeatable operational procedures, evidence requirements, controls, checklists, and implementation standards., • Promote enterprise AI governance awareness, adoption, and responsible AI practices across business and technology organizations., • Perform other duties as assigned. Qualifications • 8+ years of experience in AI governance, data governance, model risk, enterprise risk, compliance, data management, or related governance disciplines within financial services, fintech, insurance, or other highly regulated industries., • Strong hands-on experience designing and implementing enterprise AI governance frameworks and operational governance processes in production environments., • Demonstrated experience operationalizing AI governance across AI intake, inventory management, prioritization, technology assessment/gating, risk assessment, approvals, monitoring, remediation, and value/metrics reporting., • Deep understanding of AI risk, model risk, data risk, operational risk, privacy, explainability, bias, human oversight, and responsible AI principles., • Strong understanding of regulatory, compliance, audit, and governance expectations related to AI, model governance, data governance, and enterprise controls., • Hands-on experience governing AI/ML, LLM, Generative AI, RAG, and advanced analytics solutions within enterprise environments., • Strong familiarity with enterprise governance tooling including Microsoft Purview, Collibra, Alation, Informatica, MLflow, model registries, monitoring platforms, and AI observability solutions., • Practical understanding of cloud data and AI ecosystems including Azure, Databricks, Snowflake, AWS, GCP, and modern data platforms., • Strong understanding of metadata management, data lineage, access governance, data lifecycle management, retention, and enterprise data quality controls., • Experience partnering across business, technology, risk, compliance, legal, cybersecurity, audit, and operations teams to operationalize governance at scale., • Strong analytical, executive communication, and stakeholder management skills with the ability to translate complex AI and governance risks into actionable business decisions., • Bachelor’s degree in Information Systems, Computer Science, Data Management, Risk Management, Business Analytics, or related discipline. Highly Preferred • Direct experience governing enterprise AI/GenAI programs within banking or highly regulated industries., • Strong familiarity with banking regulatory frameworks and governance expectations including SR 11-7, BCBS 239, CCAR, CECL, AML/BSA, privacy, and enterprise risk management standards., • Experience governing LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Bedrock, or open-source models., • Hands-on experience with AI governance related to RAG architectures, vector databases, AI monitoring, prompt governance, and model evaluation frameworks., • Experience implementing governance controls supporting AI explainability, fairness, auditability, monitoring, and evidence management., • Strong understanding of AI/ML lifecycle management, MLOps, model registries, and production monitoring frameworks., • Professional certifications such as CDMP, DAMA, Collibra, Microsoft Purview, risk management, or AI governance certifications., • Master’s degree or advanced degree in Data Management, AI, Risk Management, Computer Science, or related quantitative discipline. Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Job Description Applied AI Scientist Job Description Job Title Applied AI Scientist Location [City/Remote/Hybrid] Employment Type Full-time / Contract Job Summary We are seeking an Applied AI Scientist to research, design, develop, and deploy AI solutions that address real-world business challenges. The ideal candidate combines expertise in machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI with strong problem-solving and software engineering skills. This role involves translating research into production-ready AI applications, collaborating with cross-functional teams, and driving innovation across AI initiatives. Key Responsibilities Research, design, and develop AI and machine learning solutions for business and product use cases. Build, train, fine-tune, evaluate, and optimize machine learning and deep learning models. Develop applications using large language models (LLMs), multimodal AI, and generative AI technologies. Design and implement Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions. Conduct experiments to evaluate model accuracy, robustness, scalability, and business impact. Analyze structured and unstructured data to derive insights and improve model performance. Collaborate with data scientists, AI engineers, software developers, product managers, and business stakeholders. Translate research findings into scalable, production-ready AI systems. Implement model monitoring, evaluation, and continuous improvement processes. Publish technical documentation, research findings, and reusable AI assets where appropriate. Stay current with advancements in AI, foundation models, reinforcement learning, and emerging technologies. Required Qualifications Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field. 3 8 years of experience in AI research, applied machine learning, or data science. Strong knowledge of machine learning, deep learning, NLP, computer vision, and statistical modeling. Experience developing and deploying production AI applications. Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG architectures. Strong understanding of experimental design, model evaluation, and performance optimization. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience with multimodal AI, reinforcement learning, or agentic AI systems. Familiarity with distributed training and large-scale model deployment. Experience with cloud AI platforms and MLOps practices. Publications, patents, or contributions to open-source AI projects. Experience in industries such as healthcare, finance, manufacturing, retail, or telecommunications. Professional certifications in AI, machine learning, or cloud technologies. Technical Skills Python SQL Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Large Language Models (LLMs) Generative AI Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agents Reinforcement Learning (preferred) PyTorch TensorFlow Scikit-learn Hugging Face Transformers LangChain LlamaIndex Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus) OpenAI API Google Gemini API Anthropic API FastAPI Docker Kubernetes Git MLflow REST APIs AWS, Microsoft Azure, or Google Cloud Soft Skills Research and analytical thinking Problem-solving Innovation and creativity Communication and presentation Cross-functional collaboration Critical thinking Project management Adaptability Continuous learning Key Deliverables AI models and production-ready AI applications Research prototypes and proof of concepts (POCs) Model evaluation and benchmarking reports AI solution architectures Technical documentation Experimentation reports Reusable AI components and frameworks Business impact assessments Success Metrics Model accuracy, precision, recall, and other performance metrics Successful deployment of AI solutions into production Business impact and measurable value delivered Scalability, reliability, and efficiency of AI systems Innovation through research contributions and new AI capabilities Reduction in model inference latency and operational costs Stakeholder satisfaction and adoption of AI solutions On-time delivery of AI research and development milestones

Job Description Playwright Automation Engineer – Job Description (JD)Job Title Playwright Automation Engineer Job Summary We are seeking a skilled Playwright Automation Engineer to design, develop, and maintain scalable automation frameworks using Microsoft Playwright. The ideal candidate should have strong experience in Playwright with JavaScript/TypeScript or Java, API testing, CI/CD, web technologies, and software testing methodologies. The role involves ensuring high-quality web applications through robust automation, continuous testing, and close collaboration with development teams. Key Responsibilities • Design, develop, and maintain Playwright automation frameworks., • Automate functional, regression, smoke, sanity, integration, and end-to-end test cases., • Develop reusable test libraries and utilities., • Perform cross-browser testing across Chromium, Firefox, and WebKit., • Automate API testing using Playwright APIRequestContext or REST Assured/Postman., • Integrate Playwright automation into CI/CD pipelines., • Perform database validation using SQL., • Analyze test failures and perform root cause analysis., • Create and maintain test data and test documentation., • Collaborate with developers, QA engineers, DevOps, and product teams., • Generate automation reports and dashboards., • Participate in Agile/Scrum ceremonies.Required SkillsPlaywright, • Playwright Automation, • Playwright Test Runner, • Browser Contexts, • Auto Wait, • Fixtures, • Parallel Execution, • Cross-Browser Testing, • Trace Viewer, • Screenshots, • Video Recording, • Network Interception, • Mocking APIs, • Codegen, • Playwright InspectorProgramming Languages Experience in one or more: • TypeScript (Preferred), • JavaScript, • Java, • Python, • C# Knowledge of: • Object-Oriented Programming (OOP), • Collections, • Exception Handling, • Design Patterns, • Asynchronous Programming (JavaScript/TypeScript)Automation Framework Design, • Page Object Model (POM), • Data-Driven Framework, • Keyword-Driven Framework, • Hybrid Framework, • Fixture-Based Framework, • Reusable Utilities, • Configuration ManagementWeb Technologies, • HTML5, • CSS3, • JavaScript, • TypeScript, • DOM, • XPath, • CSS Selectors, • Shadow DOM, • Web Components Experience handling: • Dynamic Elements, • Frames, • Multiple Tabs, • Alerts, • File Upload/Download, • Authentication, • Cookies, • Local Storage, • Session StorageAPI Testing, • Playwright API Testing, • REST API Testing, • REST Assured, • Postman, • GraphQL, • JSON Validation, • XML Validation, • OAuth 2.0, • JWT AuthenticationDatabase Testing, • SQL, • MySQL, • PostgreSQL, • Oracle, • SQL Server Knowledge of: • CRUD Operations, • SQL Joins, • Stored Procedures, • Data ValidationCI/CD & DevOps, • Jenkins, • Git, • GitHub, • GitHub Actions, • GitLab CI, • Azure DevOps, • Maven (Java Projects), • npm, • Docker Responsibilities: • Integrate Playwright tests into CI/CD pipelines., • Execute automated regression suites., • Generate and publish reports., • Parallel execution in pipelines.

Job Description • 12+ years of hands-on backend software engineering and enterprise application development experience., • Strong expertise in C#, .NET, • Strong experience designing and developing cloud-native backend services and APIs., • Experience with at least one major cloud platform: Azure, AWS, or GCP., • Hands-on experience with serverless and container technologies, such as Azure Functions,AWS Lambda, Kubernetes/AKS, ECS/Fargate, GKE, or Cloud Run., • Strong experience with event-driven and workflow technologies, such as Durable Functions, Step Functions, Temporal, Kafka, Event Hub, Pub/Sub, SNS, or SQS., • Strong enterprise integration experience with REST, SOAP, API gateways, SFTP/PGP, message queues, polling, retry, idempotency, and deduplication., • Strong knowledge of OAuth 2.0, OIDC, JWT, RBAC/IAM, TLS, encryption, secrets management, and Secure SDLC practices., • Strong data engineering experience with SQL Server/PostgreSQL, NoSQL platforms, data modeling, ETL/ELT, data warehousing, audit trails, and performance tuning., • Experience with Azure DevOps, Azure Government, GitHub Actions, GitLab CI/CD, Terraform, ARM/Bicep, CloudFormation, or equivalent DevOps tooling., • Strong experience with automated testing, logging, monitoring, distributed tracing, and production diagnostics., • Ability to independently execute complex backend development assignments and deliver high-quality production software.

Job DescriptionTekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Position: Infrastructure Engineer (Kubernetes) Location: Hybrid 3-4x per week onsite in Jersey City, NJ - 95 Christopher Columbus Dr. 1 Pershing Plaza Jersey City, New Jersey 07302 Duration: 12 months We re seeking 2 resources to assist with building out a new Kubernetes environment for a special project. The resources will join our Technology Services Group (TSG) via our PRODUCTION SERVICES DEVOPS team. In this role, you ll make an impact in the following ways: " Responsible for building Kubernetes clusters " Responsible for onboarding, troubleshooting and resolving application issues " Maintain Platform hygiene " Setup Monitor/action platform alerts Required Skills/Experience " Bachelor s degree from an accredited school " 10 years of experience " 6 years of experience with Linux " 5 years of Kubernetes experience (preferrable RedHat OpenShift) " 5 years of experience deployment, scaling, and management of containerized applications " 5 years of experience with a container runtime (Docker, RunC, CRI-O) " 5 years of experience with a monitoring/logging tool (Prometheus, Grafana, Sysdig, Splunk) " 5 years of experience with scripting (Python, Shell) " 3 years of experience with Azure AKS Preferred Skills/Experience " Experience in the securities or financial services industry is a plus " Cloud technologies is a big plus For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/.

Job DescriptionJob Title: Senior Backend and AI Engineer – Lounge Services Location: New York, NY (Onsite) Duration: 6 Months Salary Range: $40.00 - $44.00/Hour on W2 (Without Benefits). Applicants must be willing to work on W2 Job Description: Experience Required: 10–12 Years AI & Gen AI Experience: 4–7 Years Role Description • We are looking for a talented and experienced Senior Backend Engineer to join our growing team., • The Senior Backend Engineer will be responsible for designing, developing, and maintaining scalable and efficient backend systems that power our applications., • The ideal candidate will have a strong background in backend development, a solid understanding of distributed systems, LLM systems, agentic workflows, and experience with cloud technologies.Key Responsibilities, • Design, develop, and maintain high-performance backend services and APIs., • Collaborate with cross-functional teams to gather requirements, architect solutions, and implement features that meet business needs., • Optimize backend systems for performance, scalability, and reliability, ensuring smooth operation under high load., • Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design., • Design, build, and operate production-grade agentic AI systems used across multiple products., • Own and evolve shared agentic AI capabilities, including:, • Agent frameworks and orchestration layers., • Planning, tool use, and memory strategies., • Retrieval and grounding (RAG) pipelines., • LLM infrastructure, inference, and model gateways., • Evaluation, observability, and safety tooling for autonomous systems., • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost., • Implement best practices for code quality, testing, and deployment automation., • Work closely with DevOps teams to deploy and manage backend services in cloud environments (e.g., AWS, Azure, Google Cloud)., • Collaborate with frontend engineers to define API contracts and ensure seamless integration between frontend and backend systems., • Communicate effectively with team members, stakeholders, and management.Skills Required Core Engineering Stack • Languages: NodeJS, TypeScript, Go., • APIs and Services: REST, microservices., • Cloud and Infrastructure: AWS and/or GCP, Kubernetes., • Distributed Systems: Event-driven architectures, including Kafka., • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.Required Qualifications, • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • 10+ years of experience building large-scale distributed systems with strong proficiency in NodeJS/JavaScript/TypeScript and/or Golang., • Strong experience with LLM systems, agentic workflows, or advanced ML infrastructure., • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products., • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure., • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation., • Fluency with AI-assisted and agentic development workflows., • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems., • Ability to influence technical direction and align teams without formal authority., • Experience in workflow engines, async processing, queues, and streaming systems., • Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes)., • Proficiency in database technologies such as SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis)., • Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions., • Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines., • Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.Preferred Qualifications, • Experience building agentic systems in fintech or other regulated industries., • Experience as a founding engineer or early technical leader in AI-driven products., • Demonstrated success delivering technically complex autonomous systems., • Meaningful contributions to open-source AI or agentic frameworks., • Familiarity with fine-tuning, model optimization, and inference pipelines is a plus.

Job Description Job Description: Software Development Engineer in Test (SDET) Job Title: Software Development Engineer in Test (SDET) Experience: 3–6 Years Employment Type: Full-time Department: Engineering / Quality Assurance Job Summary We are looking for a skilled Software Development Engineer in Test (SDET) to design, develop, and maintain scalable test automation frameworks and ensure the quality, reliability, and performance of software applications. The ideal candidate should have strong programming skills, experience in automation testing, API testing, and CI/CD integration, along with a solid understanding of software development and testing principles. Roles and Responsibilities Design, develop, and maintain robust and reusable test automation frameworks. Develop automated test scripts using Java, Python, or JavaScript. Automate web applications using Selenium WebDriver and Playwright. Design and implement API automation using REST Assured or similar tools. Perform functional, integration, regression, and end-to-end testing. Develop unit, integration, and system-level automated tests. Integrate automated tests into CI/CD pipelines using Jenkins or GitHub Actions. Identify, debug, and troubleshoot software defects and automation failures. Perform database validation using SQL queries. Conduct performance and load testing using tools such as Apache JMeter. Collaborate with developers, product managers, and QA engineers throughout the SDLC. Participate in code reviews and follow software engineering best practices. Analyze test results, investigate root causes, and improve test coverage. Optimize test execution time, reduce flaky tests, and improve automation reliability. Maintain test documentation, reports, and quality metrics. Required Technical Skills Programming Languages: Java, Python, or JavaScript Automation Tools: Selenium WebDriver, Playwright Testing Frameworks: TestNG, JUnit, PyTest API Automation: REST Assured, Postman Build Tools: Maven, Gradle CI/CD: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Database: SQL, relational database validation Performance Testing: Apache JMeter or similar tools Defect Tracking: Jira, Azure DevOps Testing Concepts: Functional, Regression, Integration, Unit, and End-to-End Testing Methodologies: Agile, Scrum, SDLC, STLC Preferred Skills Experience developing automation frameworks from scratch. Knowledge of data structures, algorithms, OOP, and design patterns. Experience with microservices and distributed systems testing. Familiarity with Docker, Kubernetes, and cloud environments. Experience with message queues and event-driven architecture testing. Understanding of security testing and application performance monitoring. Experience using AI coding assistants such as Cursor or Claude. Knowledge of parallel execution, test reporting, and test optimization. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Strong programming and problem-solving skills. Relevant software development or test automation certifications are an advantage. Key Competencies Strong analytical and debugging skills. Ability to write clean, maintainable, and reusable code. Good understanding of software architecture and testing strategies. Effective communication and collaboration skills. Ownership of product quality and continuous improvement. Key skills for a Naukri job posting: SDET, Test Automation, Java, Python, Selenium, Playwright, REST Assured, API Testing, TestNG, JUnit, Data Structures, OOP, SQL, Jenkins, CI/CD, Git, Maven, Docker, JMeter, and Agile.

Job DescriptionRole: Senior Microsoft Dynamics 365 / Power Platform Developer Location: 2 Broadway, NY Duration: Long Term Must have 10 years' experience Only submit Locals or Nearby state who can attend In-Person for final round of interview Must have recent/Current State Client experience… Job Description: Proficient in core Dynamics 365 concepts, functionalities, and configuration. In-depth understanding of Power Apps for building custom canvas and model-driven apps. Must have deep expertise in Power Apps with a strong focus on Power Pages and Portals development, including end-to-end design, customization, and integration. Proven ability to configure and customize Dynamics 365 entities, views, dashboards, workflows, and security settings. Required skills: • Experience creating custom plugins using the Dynamics 365 SDK to automate complex business logic., • Successfully deploying customizations and solutions to Dynamics 365 environments Ability to integrate Dynamics 365 with external systems and data sources using APIs and custom workflows., • Solid understanding of web development concepts, including HTML, CSS, JavaScript (JS/jQuery), and ASP.NET., • Proficiency in C# programming and SQL using various DB sources., • Desirable skills in Azure DevOps or other CI/CD tools, performance optimization, code quality, unit testing frameworks, and version control like GitHub.