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Overview: The Sr. Project Engineer role will oversee and execute the project controls and management of a multiple discipline, EPC project focused in the Mining Industry. Your main functions will include (but not limited to) responsibility for the full scope of the project such as direct support to a Sr. Project Engineer installed quantity monitoring, contract administration, project planning and scheduling, procurement, and project reporting. The Sr. Project Engineer I role requires interfacing with all areas affected by the project including the client(s), engineering/design, subcontractors, distributors, equipment vendors, and the ongoing strategic communication with project management regarding the status of the project. Location & Travel Details: You can be based in any city or state in the U.S.. This is a traveling, project based position, up to 90% of the time. You have the potential to be placed on a project site located in any state throughout the US. You’ll spend 8-18 months on average per project. We offer designated per diem in addition to an excellent base salary to support and help you cover living expenses. This position is eligible for mobilization support (may include mileage reimbursement), and includes one longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec Industrial / Phoenix Industrial is part of the MasTec Clean Energy & Infrastructure (CE&I) business segment. The CE&I segment generates over $4.5 billion in annual revenue, providing construction services across our renewables, industrial, infrastructure, and general building operating groups. Sustainability and safety are foundational to our culture and influence everything we do. MasTec, a minority-owned Fortune 500 company, has shaped the construction industry for more than 90 years. With over 35,000 employees and 400 offices nationwide, we provide flexibility and career growth in dynamic work environments. Join one of the largest construction firms in the country (Engineering News-Record [ENR]: #1 in Power, #16 Top 50 Domestic Heavy Contractors, #13 Transportation Contractor). Responsibilities: ESSENTIAL JOB FUNCTIONS: • Represent in a professional manner in all client interaction activities., • Provide the client with contract required reports (weekly, monthly, schedule.), • Champion Corporate Safety Plan and help develop the site-specific safety plan., • Create quantity calculation formulas to accurately determine percentage of completed/installed materials., • Develop a process for the creation and review of work plans and work packages., • Provide support to ensure the site quality plan is communicated and all inspections and quality documentation is being completed on time and assembled for final turn over., • Manage the compilation, processing, and customer approval of daily labor timesheets., • Review and train people the correct usage of Job Safety Analysis (JSA’s), • Lead jobsite safety reviews, toolbox meetings, mass safety meetings, and safety training., • Track material deliveries and develop procurement status report., • Plan, schedule, and coordinate work groups on the jobsite., • Direct other to perform material takeoffs from drawings, specifications, and other contract documents., • Perform complex engineering calculations and technical drafting to support field operations., • Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer, vendors, subcontractors, governmental agencies, and internal use., • Review field issued purchase orders and subcontracts, prepare material buyout take offs from issued for construction drawings., • Direct home office performed procurement and subcontract administration functions., • Provide field support and supervise subcontractor operations., • Manage all project recordkeeping and correspondence functions including daily reports, photographs, requests for information (RFIs), submittal, transmittal, memorandums, and other contract required correspondence., • Create and closely monitor project controls such as productivity tracking including Average labor rate, indirect scheduling, equipment schedule and log, risk, and opportunity log, etc., • Create and maintain master project schedule., • Generate change orders and as-built data to be reviewed by the Project Manager., • Drive the planning process through the master schedule, 6-week, 3-week, 1-week, and manpower curves., • Administering Accounting/Job Costs/Work in Progress (WIP) Updates: Learn and Assist the Project Manager with these activities., • Lead the budgeting process of taking the Estimate and converting it to the Standard Phase codes., • Alert Project Manager and Home Office of trends regarding labor, material, subcontractor and equipment costs., • Accurately manage the cost forecasting process for entire project (labor, materials, subcontractors, equipment.), • Identify trends and suggest corrective actions when needed., • Establish the cashflow forecast and curve to ensure positive cashflow for the project., • Act as primary company representative in the absence of or as directed by Project Manager., • Know all of the provisions, terms and scope of the Prime contract., • Develop and prepare Schedule of Values and all Invoices to customer., • Manage, lead direct reports, and mentor. SUPERVISORY: • Support a crew of 100 people for short periods if needed., • Lead/Direct a team of 1 or more Field Engineers., • Oversee and manage all the field office staff, which could include engineers, office manager, document control, schedulers, procurement, warehouse, and other support personnel on the project. Qualifications: EDUCATION AND WORK EXPERIENCE REQUIREMENTS: • Bachelor’s degree in engineering, construction management, or related., • 7 plus years’ experience as a Field Engineer or similar role., • Mining Industry experience preferred KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: • Be knowledgeable of MIC Health and Safety programs and project specific regulations., • When on-site, actively participate in daily toolbox meetings with crews and subcontractors., • Set a personal example of safe behavior., • Ability to read, analyze and identify discrepancies on engineering plans, specifications, and contract documents., • Provide constructability and cost saving alternatives at design phase of project., • Ability to freely access all points of a construction site in wide-ranging climates and environment., • Highly motivated, with a demonstrated passion for excellence and taking initiative., • Strong work ethic, willing to do what it takes to get the job done right the first time., • Demonstrated commitment to ethics and integrity., • Passion for safety, with the ability to help us ensure that nobody gets hurt., • Leader with the ability to delegate work and provide support as needed to meet deadlines, goals, and objectives., • Willing to travel extensively and relocate to the next project location for an extended period (typically 6-12 months.), • Other may duties may be assigned, • Maintain in-depth relations with all members of their team and your supervisor. PHYSICAL DEMANDS: • Work up to a 12-hour shift doing hard physical work in varying temperatures and outside conditions., • May need to maintain physical strength and stamina; Use arms, hands, and legs fully; Push, pull, and frequently lift and carry objects weighing up to 50 pounds; and stoop, kneel, balance, crouch, crawl, and climb to perform job tasks., • Stamina to perform this task repetitively and continuously for several hour intervals., • Uncontrolled environmental conditions: Constant change in weather and site conditions., • This work environment may involve moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors and/or loud noises., • Ability to wear personal protective equipment is required (including but not limited to- safety toed shoes, gloves, safety glasses, hearing protection, hardhat, vest, etc.)., • Move in and around confined, cluttered, and uneven areas., • May need to work at heights and must be able to abide by all safety and fall-protection requirements; must be able to wear and utilize all safety equipment required for work at heights., • Evaluate information based on measurable standards; and see details in objects or drawings and recognize slight differences in shapes and shadings., • Visualize objects in three dimensions from drawings., • Keep good balance and work at heights., • See well (either naturally or with correction)., • Hear well (either naturally or with correction.), • Coordinate the use of eyes, hands, and feet. HOURS: This position is a Full-Time position scheduled to work typically 50 hours per week. Schedule is subject to projects requirements. TRAVEL: Travel required up to 90%. Position requires presence directly on the Project Site location with intermittent travel to residence of record. What's in it for You Financial Wellbeing Compensation $150,0000-$170,0000 / year, commensurate with experience Competitive pay with ongoing performance review and merit increase 401(k) with company match & Employee Stock Purchase Plan (ESPP) Flexible spending account (Healthcare & Dependent care) Health & Wellness Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children Diabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet Insurance, Weight Management Drug Discount Discounted National Gym Membership Network Family & Lifestyle Paid Time Off, Paid Holidays, Bereavement Leave Military Leave, including Benefits Continuation Employee Assistance Program Planning for the Unexpected Short and long-term disability, life insurance, and accidental death & dismemberment Voluntary life insurance, accident, critical illness, hospital indemnity coverage Emergency Travel Assistance Program Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact ceicareers@mastec.com. Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at _. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-RM1 Appcast (For Export): #appred

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As an Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. SCOPE OF RESPONSIBILITY • Analyze and interpret blueprints, specifications, and scope documents for fire and security system projects., • Prepare detailed cost estimates for labor, materials, and equipment for alarm systems, CCTV, access control, and other low-voltage installations., • Conduct take-offs and identify potential value-engineering alternatives to reduce costs without sacrificing quality., • Collaborate with vendors and subcontractors to source competitive pricing., • Develop bid proposals, ensuring all required documentation is submitted on time., • Partner with sales and project management teams to ensure seamless project handoffs., • Maintain an up-to-date pricing database., • Keep current with changes in industry codes, technology advancements, and competitive practices. Qualifications • Minimum 5 years of experience estimating in the fire alarm and/or security/low voltage field., • Education BA Business/ BS Engineering/MS Engineering or applicable amount of experience in the appropriate field may be substituted for the educational background, • Strong understanding of relevant codes, including NFPA and NEC., • Ability to read and interpret detailed construction drawings and scope documentation., • Experience working with major manufacturers (e.g., Silent Knight, Firelite, Bosch, Hanwha, Avigilon, Axis, Genetec, Lenel, and others)., • High level of organization and accuracy with strong attention to detail., • Excellent communication and time management skills., • NICET Certification- Fire Alarm Systems Level III or higher, preferred., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • SalesForce ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, CCTV, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of workload and the requirements to maintain commitments., • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements Securitas Technology Offers Comprehensive Benefits Including • Opportunity for annual merit pay increases, • Paid company training, • Medical, Dental, Vision, Life, Critical Illness, and Hospital Indemnity Coverage, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday, and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect, and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge, and technology power our connected ecosystem of health, safety and security solutions and services. ORGANIZATIONAL RELATIONSHIPS Closely work with together with the BIM Manager and system’s design engineers to provide 3D design aid throughout the project’s life cycle. Reports to Enterprise Systems engineering manager. SCOPE OF RESPONSIBILITY The Engineer is responsible for working closely with the BIM Manager and Systems Engineer to create a 3D model of the integrated security systems design submittal for approval by the customer or representative and in accordance with project specifications, drawings, codes, and regulations, manage and create the design submittal (drawings, bill of material, calculations, as-builts, etc.) and maintain the submittal during changes to the contract. Work within Security Technology systems group on the design and integration of security systems, access control, intrusion detection systems, communication, CCTV, Intercom systems, computer, and networking. Develop detailed design schematic and review 2D and 3D drawings for electronic and electrical products. This position will require working closely with project managers, design engineers, engineering specialists, manufactures, customers, engineering firms and other external experts. This position will require working in the Elmsford-NY office or the Fair Lawn-NJ office. Travel if might needed is less than 10% of the time. There is no relocation package available for this position. Job Requirements: ESSENTIAL FUNCTIONS • Basic working knowledge of Electronic Security Systems and features., • Creating Detailed 3D Models utilizing Revit, AutoCAD, and Navisworks to develop detailed 3D models of architectural designs., • Work closely with Design Engineers, architects, and other team members., • Updating and Modifying Models. As plans and specifications change, update and modify existing models accordingly., • Generating 2D Drawings and Details. Extract 2D drawings and construction details from 3D models., • Clash Detection and Coordination. Run clash detection analyses to identify conflicts or discrepancies between different building elements., • Attend Regular Project clash detection meetings and be prepared with clash reports to facilitate coordination meetings among project stakeholders., • Adherence to BIM Standards. Ensure that all models comply with project-specific BIM standards and protocols., • Maintaining BIM Libraries. Create and update BIM families within the project’s library., • Contributing to BIM Standards Development and actively participate in enhancing BIM standards and best practices within the organization., • Ability to handle multiple projects, schedule work and communicate effectively to peers. ADDITIONAL RESPONSIBILITIES • Be prompt, reliable, and on time in all aspects of your engagement while maintaining a high level of attention to detail and accuracy., • Perform any additional duties as required or assigned. SPECIAL KNOWLEDGE, SKILLS, AND ABILITIES • Security engineering experience is preferred but not a must., • BS in EE Engineering or equivalent is required., • Computer skills to include Revit, AutoCAD, Navisworks and MS Office., • Knowledge of ISO 19650 standards, • AC and DC circuitry, voltage drop calculations and wire sizing., • Basic knowledge of network and system security principles, not only in theory., • Executing enterprise engineering techniques., • Proven experience managing workload and pressure situations. Securitas offers comprehensive benefits including: • Company training and industry leading certification program, • Opportunity for annual merit pay increases, • Medical, Dental, Vision, and Life Insurance, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday, and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As a Sr. Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, and general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. ORGANIZATIONAL RELATIONSHIPS • Interface with Account Mangers, Support Services, Implementation Coordinators, Project Managers and Proposal Support Department on a regular basis., • Interface with Customers, Manufacturer’s Representatives, Manufacturer’s Technical staff, Distribution Suppliers and Supply Vendors on a regular basis., • Interface with area and senior leadership to develop a win strategy and evaluate the dynamics of projects., • Work with fellow application engineers providing guidance and or design aid in projects and products that are unfamiliar to them. SCOPE OF RESPONSIBILITY • Develop project requirements from interviews, customer provided scope of work, site surveys, specification, pricing sheets and drawing reviews., • Develop and provide detailed equipment list, electrical requirements, installation requirements and costing for turn-key security system solutions., • Configure and quote proprietary Pre Fabrication of applicable access control, CCTV and other systems ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, cctv, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements ADDITIONAL RESPONSIBILITIES • Be prompt, reliable, and on time in all aspects of your engagement while maintaining a high level of attention to detail and accuracy., • Perform any additional duties as required or assigned Minimum Requirements: SPECIAL KNOWLEDGE, SKILLS AND ABILITIES • Experience 5-7 Years, • Education BA Business/ BS Engineering/MS Engineering, • Applicable amount of experience in the appropriate field may be substituted for the educational background, • Thorough understanding of electronic security systems, their individual parts, and the onsite labor necessary to complete an installation., • Ability to read and understand written specifications, drawings and controlling documents., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • Sales Force dot com, • Good communication skills, • Ability to procure subcontractor pricing, • Ability to level bids from multiple subcontractors, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

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).

We are seeking an Sr Embedded Engineer to lead the design and development of audio signal-processing subsystems for robots. You will own core audio algorithm design and implementation, requiring a deep mathematical foundation in signal processing and a strategic understanding of embedded systems. \n \n \nKey job responsibilities\n \n- Architect the audio processing pipeline at the embedded system level. \n \n \n- Serve as the subject-matter expert on audio and signal-processing algorithms, providing technical guidance across electrical, mechanical, ID, and software teams \n \n \n- Integrate and validate DSP algorithms on embedded, real-time platforms \n \n \n- Research and specify electroacoustic components (microphones, speakers) \n \n \n- Adapt and tune algorithms for varying hardware, software, and system constraints \n \n \n- Collaborate cross-functionally with engineering, systems, software, and product management \n \n \n- Manage and direct external audio and acoustics consultants, defining SOWs and integrating third-party acoustic design inputs into a program \n \n \n- Partner with vendors on test and production activities \n \n \nAbout the team\n \nFauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. \n \n \nWe believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. \n \n \nOur work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful. \n \n \nAt Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build. \n \n \nIf you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you. \n \nBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience\n \n- 5+ years of programming with at least one software programming language experience\n \n- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n \n- Experience as a mentor, tech lead or leading an engineering team\n \n- 7+ years developing DSP algorithms for embedded or real-time systems\n \n- Proficiency in C/C++ and Python or MATLAB for signal-processing algorithm development\n \n- Experience with microphone and speaker selection and characterization\n \n- Deep signal-processing fundamentals: time/frequency duality, discrete-time signal processing, fixed- and floating-point implementation\n \n- Hands-on prototype builds, hardware bring-up of audio subsystems, or design iteration cycles\n \n- Practical knowledge of ML architecture design, data analysis, and training/evaluation methodologies for audio systems\n \n- Experience with board bring-up, profiling, optimization, simulation, and manufacturing test fixture design, production test plans, yield analysis, and test-to-spec validation\n \n- Experience debugging embedded systems and working with audio lab equipment (oscilloscopes, power analyzers, motor test benches)\n \n- Proven ability to work effectively across cross-functional teams at all organizational levels\n \n- Bachelor's degree in Electrical Engineering, Computer Engineering, Audio/Acoustics, or a related field\n \nPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n \n- Familiarity with mechanical integration of electroacoustic components\n \n- Experience with signal detection and estimation, spatial audio, direction-of-arrival estimation, acoustic event detection, keyword spotting, or ML for embedded systems\n \n \nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n \n \nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n \n \n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. \n \n \nUSA, NY, New York - 184,900.00 - 250,200.00 USD annually

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).

Bachelor’s Degree in Electrical Engineering from ABET Accredited College or University EIT or Licensed Professional Engineer Preferred (or ability to gain reciprocity) Proven experience as an Electrical Engineer designing power and lighting building systems on complex projects. Why join us? Compet

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).

Must have experience with 481(a) calculations and form 3115 This Jobot Job is hosted by: Brittany Packard Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $85,000 - $150,000 per year A bit about us: Welcome to our client, where tax expertise meets innovation! We are not just another specialty tax service company; we are your partners in financial success. Elevate your CPA firm's capabilities and dazzle your clients with our unparalleled services. From revolutionizing R&D and optimizing RETC to mastering Cost Segregation and beyond, we redefine excellence in every aspect of tax strategy. Join us on a journey where cutting-edge solutions and unrivaled expertise converge to propel your business to new heights. Unleash the power of tax innovation with our client– your gateway to a world of financial possibilities! Why join us? truly a 100% remote opportunity. The workforce is dispersed all across the United States unlimited PTO with an emphasis on worklife balance and family time continuing certification education reimbursement clear path for growth and upward mobility into upper management, this position can be partner tracked Job Details Job Details: We are seeking a highly motivated and experienced Permanent Cost Segregation Senior Engineer to join our dynamic finance team. This role is a unique opportunity to make a substantial impact on our company's financial operations. The successful candidate will be responsible for managing cost segregation studies, fixed assets, and 815(a) calculations, as well as handling real estate taxes and form 3115. This position requires a deep understanding of cost segregation and fixed assets, with a strong emphasis on the ability to manage and interpret complex financial data. Responsibilities: 1. Manage and conduct cost segregation studies to identify personal property and land improvements. 2. Oversee and maintain fixed asset records and ensure accurate depreciation calculations. 3. Prepare and review 815(a) calculations and form 3115 for changes in accounting methods. 4. Handle real estate tax matters, including property tax returns, assessments, and appeals. 5. Collaborate with cross-functional teams to implement cost-saving initiatives. 6. Provide expert advice on tax implications and strategies related to cost segregation. 7. Ensure compliance with all relevant tax laws and financial regulations. 8. Develop and implement process improvements to enhance efficiency and accuracy. 9. Provide training and guidance to junior team members on cost segregation and fixed assets. 10. Prepare and present financial reports to senior management. Qualifications: 1. Bachelor’s degree in Accounting, Finance, or a related field. A CPA or MST is preferred. 2. Minimum of 3 years of experience in cost segregation, fixed assets, and real estate taxes. 3. Proven experience with 815(a) calculations and form 3115. 4. Solid understanding of tax laws and regulations related to cost segregation. 5. Strong analytical skills with the ability to interpret complex financial data. 6. Excellent communication and presentation skills. 7. Proficient in Microsoft Office Suite and finance-related software. 8. Ability to work independently and as part of a team. 9. Strong attention to detail and accuracy. 10. Ability to handle multiple tasks and meet tight deadlines. This is a fantastic opportunity for a seasoned finance professional to take their career to the next level. If you are a strategic thinker with a strong background in cost segregation and fixed assets, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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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).

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).

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).

Join a Leading MEP Consulting Engineering Firm in NYC \n \n Your New Company \n \n A highly respected and growing MEP consulting engineering firm is seeking a Senior Electrical Engineer to join its New York City team. This organization is recognized for delivering innovative, sustainable, and high-performance building designs across a diverse portfolio of commercial, healthcare, life sciences, education, mixed-use, mission critical, and large-scale development projects. \n \n The firm provides a collaborative, mentorship-driven environment where senior leadership remains actively involved in project execution and client engagement, creating exceptional opportunities for professional growth and technical development. \n \n Your New Role \n \n As a Senior Electrical Engineer, you will play a key role in the design, coordination, and delivery of complex building electrical systems from schematic design through construction administration. \n This position is ideal for a technically strong engineer who enjoys working directly with clients, architects, and multidisciplinary engineering teams while leading projects and mentoring junior staff. You'll have the opportunity to contribute to some of the region's most challenging and innovative building projects. \n \n What You'll Be Doing \n \n\n • Lead electrical system design for commercial, healthcare, institutional, mixed-use, and mission critical projects\n, • Conceptualize and evaluate electrical system design solutions and communicate recommendations to clients and project stakeholders\n, • Develop high-quality construction documents, technical specifications, and engineering reports\n, • Prepare power one-line diagrams, grounding systems, lighting controls, fire alarm systems, and emergency power system designs\n, • Perform engineering calculations including load studies, short-circuit analysis, generator sizing, voltage drop, feeder sizing, and lighting power density calculations\n, • Conduct existing building assessments and due diligence reports\n, • Coordinate closely with architects, owners, contractors, and other engineering disciplines throughout all project phases\n, • Participate in construction administration activities, including field observations, punch lists, submittal reviews, contractor coordination, and RFI responses\n, • Manage project schedules, budgets, and technical deliverables\n, • Mentor, train, and support the development of junior engineers and designers\n, • Build and maintain strong client relationships through exceptional project execution\n\n \n What You'll Need to Succeed \n \n\n • Bachelor's Degree in Electrical Engineering or Architectural Engineering\n, • 6-10+ years of experience within an MEP consulting environment\n, • Professional Engineer (PE) License required or actively pursuing licensure\n, • Experience designing electrical systems for buildings from schematic design through construction administration\n, • Strong knowledge of NEC, NFPA, IEEE, and applicable building codes and industry standards\n, • Experience with power distribution, emergency power, lighting, fire alarm, and low-voltage systems\n, • Proficiency in Revit, AutoCAD, and Microsoft Office Suite\n, • Experience reviewing contractor submittals, shop drawings, RFIs, and field coordination efforts\n, • Strong project management, communication, and client-facing skills\n, • Excellent technical writing and engineering reporting abilities\n, • Ability to lead project teams and manage multiple priorities simultaneously\n\n \n What You'll Get in Return \n \n\n • Competitive salary of $135,000-170,000 depending on experience\n, • Annual performance bonus opportunity\n, • Comprehensive medical, dental, and vision benefits\n, • Hybrid work flexibility\n, • Exposure to architecturally significant and technically challenging projects\n, • Direct mentorship from experienced engineering leadership\n, • Long-term career growth and advancement opportunities\n, • Collaborative and entrepreneurial work environment\n, • Opportunity to work on sustainable, innovative, and high-profile building projects throughout the Northeast\n\n \n What You Need to Do Now \n \n If you're interested in exploring this confidential opportunity, click Apply Now or reach out directly for a private discussion. \n \n If this particular role isn't the right fit, but you're interested in hearing about other opportunities within the MEP consulting engineering market across New York, New Jersey, Connecticut, or Philadelphia, please contact me for a confidential conversation regarding your career goals. \n

Sr. Manager, AI Engineer\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, • 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, • 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, • 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, • 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, • Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts\n, • Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems\n, • Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \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 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, • 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 1 year of people leadership experience\n\n \n Preferred Qualifications: \n\n • 3+ years of experience managing and leading an engineering team\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 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 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 leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery\n, • Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance\n, • Track record mentoring engineers/scientists to productize prototypes and meet production SLOs\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 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 (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).

AI Engineer 5 (FM Hosting, LLM Inference)\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 Jose, CA: $250,800 - $286,200 for AI Engineer 5\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).

Job Description Position Title: Senior Track Engineer Location: New York, New York, United States Department: Track Description: We are offering an exciting opportunity for a Senior Track Engineer to join our New York City office and contribute to the growth and capabilities of the Passenger Rail & Transit Group. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you'll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities • Lead the preparation of track design documents, including plans, specifications, quantities and design calculations, • Provide technical guidance and mentoring to team members, • Lead delivery of track design tasks, including horizontal and vertical geometry and modeling using OpenRail Designer software, • Lead the design of track horizontal and vertical alignments, including processing of survey data, regression analysis, • Lead the design of special trackwork details for procurement and installation, • Occasionally perform track inspection and field work as needed, • Assist in adapting OpenRail Designer workspaces for client specific standards Requirements: • Six to 15 years of relevant experience, • BS in Civil Engineering or related discipline, • PE license (preferred), • Experience with Special Trackwork Design, • Fluency with OpenRail Designer Benefits: Salary range - $104,000-156,000 annually. Salary commensurate with level of experience. We are offering a professional work environment, competitive salary, benefits package, and 401(k) EOE M/F/ DISABILITY/VETS Compensation details: 104000-156000 Yearly Salary PI9544e3cded65-25405-41865919

Job Description Position Title: Civil/Utility Designer Location: New York, New York, United States Department: Highway/Roadway Description: H&H is seeking a motivated Civil/Utility Designer to support utility-focused highway and civil design projects. This role is responsible for developing and coordinating utility designs with an emphasis on precision, accuracy, and meeting or exceeding owner standards. The successful candidate will communicate effectively with colleagues and clients and bring a detail-oriented approach to utility design and coordination. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you'll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities • Design and develop utility conflict plans for heavy civil and site-related projects., • Read and interpret contract plans and blueprints., • Design and develop utility realignment plans and coordinate with utility owners., • Prepare client-specific utility documentation using Microsoft Word., • Prepare utility cost estimates for work associated with utility relocation plans., • Communicate clearly and professionally with colleagues and clients., • Demonstrate attention to detail, initiative, and the ability to work independently. Requirements: • Bachelor's degree in Engineering, either a Bachelor of Engineering (BE) or Bachelor of Science (BS), with a concentration in Civil Engineering., • Two to five years of utility-related experience., • Experience with MicroStation or AutoCAD., • General computer skills and proficiency with standard office software., • New York State Engineer-in-Training (EIT) certification., • Ability to read and interpret contract plans and blueprints., • Strong verbal and written communication skills., • Detail-oriented, self-motivated, and able to work effectively with colleagues and clients.Software and Technical Skills Experience using the following software in a production environment: • CAD: MicroStation V8i and the latest version of AutoCAD., • Spreadsheets: Microsoft Excel., • Word Processing: Microsoft Word., • Database: Teams, as listed in the source description., • Graphics and Document Review: Bluebeam and Adobe software.Physical Requirements and Work Environment, • Ability to operate standard office equipment, including computers, telephones, printers, photocopiers, fax machines, and calculators., • Ability to sit for extended periods, with frequent walking and standing., • Ability to occasionally bend, kneel, balance, crouch, and reach overhead., • Ability to use hands and fingers to handle or feel objects and to reach with hands and arms., • Ability to frequently lift or move items weighing up to 10 pounds and occasionally lift or move items weighing up to 50 pounds., • Visual abilities required include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Benefits: Salary range - $80,000-100,000 annually. Salary commensurate with level of experience. We offer a professional work environment, a competitive salary, a benefits package, and 401(k). EOE M/F/DISABILITY/VETS Compensation details: 80000-100000 Yearly Salary PIa04017d3a158-25405-41915342

Job Description Position Title: NY Roadway and Civil Department Manager Location: New York, New York, United States Department: Highway/Roadway Description: H&H is seeking an experienced leader to serve as NY Roadway & Civil Department Manager within our New York Transportation Practice. The Department Manager will lead three groups: Highway & Civil, Traffic & Planning, and Stakeholder & Utility Coordination, providing direct oversight of each group's manager. This senior leadership role is responsible for driving departmental growth, strengthening relationships with major public-sector clients, securing new work, and building a high-performing technical team. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you'll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities Strategic Leadership and Growth • Lead execution of the department's strategic plan and drive sustainable growth across all three groups., • Provide direct leadership to the Highway & Civil, Traffic & Planning, and Stakeholder & Utility Coordination group managers.Client Relationships, • Develop and maintain strong relationships with key New York clients, including NYSDOT, NYCDOT, PANYNJ, MTA, NYCDDC, and NYSTA., • Serve on Client Service Management teams and lead those teams as appropriate.Business Development, • Partner with the Transportation Practice Lead and Marketing Team to identify target pursuits., • Develop win strategies and lead proposal efforts from initial positioning through submission and interview.Project Delivery and Technical Leadership, • Manage projects and serve as a technical resource or technical lead, as appropriate., • Work with technical leadership to develop and define technical approaches across all disciplines.Talent and Capacity Management, • Assess, build, and manage the department's capabilities and capacity., • Recruit and hire staff as needed to meet workload demands and technical capability requirements., • Mentor group managers and support the professional development of department staff.Industry Presence, • Represent H&H in the New York market through industry events, professional societies, and industry groups., • Build the firm's visibility and reputation among clients, partners, and industry peers. Requirements: • Bachelor of Science degree in Civil Engineering (BSCE)., • Professional Engineer (PE) license in New York, or the ability to obtain licensure within a defined timeframe., • 15 or more years of experience in roadway, highway, traffic, or civil infrastructure design, including significant experience in a leadership or management role., • Demonstrated experience working with transportation agencies in the New York area., • Proven track record in business development, including leading successful pursuits and winning work., • Experience managing multidisciplinary teams, budgets, and complex projects., • Strong communication, client-facing, and presentation skills., • Established network within the New York transportation and infrastructure community. Benefits: Salary range - $180,000-250,000 annually. Salary commensurate with level of experience. We are offering a professional work environment, competitive salary, benefits package, and 401(k) EOE M/F/ DISABILITY/VETS Compensation details: 180000-250000 Yearly Salary PIa88d0e2ae1d0-25405-41900507

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Electrical Engineer, Power Stations Type: Contract Compensation: $70/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities • Review tasks on power station electrical systems, including circuit and control design, switchgear and protection, and power distribution., • Check engineering assumptions, calculations, code and standards use, and equipment data for accuracy and compliance., • Flag ambiguity, missing constraints, and unrealistic deliverables to ensure project feasibility and safety., • Produce clear written findings to communicate technical insights and recommendations effectively., • Work independently and asynchronously to meet deadlines and improve project outcomes. Qualifications Must-Have • Current or recent hands-on electrical engineering experience at a power station, power generation facility, or substation., • Circuit design depth in protection and controls, switchgear, and power distribution., • Experience at a company that builds or delivers power plants, such as an EPC contractor, power generation developer, utility, or owner engineering group., • Resume must clearly show the employer, the facility, and your own electrical scope of work. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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).

AI Engineer 5 (AI Foundations, VLM Customization)\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 Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \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 • \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 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 6 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 7 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 complex AI systems \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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \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 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 Jose, CA: $250,800 - $286,200 for AI Engineer 5\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, LLM Core and Agentic AI)\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, • 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).

AI Engineer 4 (AI Safety and Multimodal)\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 experienced in AI red teaming and in deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\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 AI Safety and LLM safety alignment\n, • Experience with Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\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).

Sr. Staff AI Engineer\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 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, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9 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 SVP 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, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\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: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. 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).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console. This work is foundational; it enables fast, accurate, data-driven decision-making that keeps customers raving about our products. As a Product Analytics Engineer, you'll build data systems that deliver actionable insights on how users interact with our products and services. You'll capture, transform, and integrate data from multiple sources into a unified analytics platform, all while working with a team that's innovating to protect customers from increasingly complex threat actors. This role requires navigating ambiguity and undefined problem spaces, working across multiple product groups and disciplines to drive impact. We build teams of technically strong people who make each other better. That means bringing sharp skills while staying curious and humble, and genuinely caring about the growth and success of those around you. If you love exchanging ideas and are as invested in your teammates' wins as your own, this is the place for you. We want someone with technical skills and the right mindset: A self-starter who wants to grow and learn You make choices based on data and good judgment You lead by helping others and sharing knowledge You work well with others and get people aligned You adapt when priorities change You do the right thing for colleagues and users You use AI tools to work faster Design and build our data systems and analytics tools Deliver accurate insights that drive business choices and product decisions Balance several projects at once and tell stakeholders about trade-offs Build data pipelines that process large amounts of data Use AI tools daily and share how you use them with the team Ask smart questions and shape outcomes, not just do tasks Own your work and make sure it succeeds Required: Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience) Strong programming skills in at least one modern language (Python, Go, or similar) Deep SQL expertise and hands-on experience with modern data platforms (RDBMS, NoSQL, or Graph databases) You can design systems for moving and changing data at scale using tools like Kubernetes and Docker Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) Strong data visualization and storytelling skills; you can construct concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms A thorough understanding of engineering best practices - from testing paradigms to peer code reviews and resilient architecture design Excellent communication skills: you can translate complex technical concepts to cross-functional audiences Experience in a SaaS environment Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Experience using predictive analytics, machine learning, and/or AI to solve business problems Experience designing and executing enterprise-scale semantic layers to standardize business meaning and enable trusted analytics and AI use cases Thought leadership analytics and data engineering Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms Thrives in fast, team-based, and iterative programming environments Track record of high-quality work on time You'll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions, surface threats faster, and ultimately help our customers stay ahead of adversaries. You'll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output. #LI-AP1 Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards, • Comprehensive physical and mental wellness programs, • Competitive vacation and holidays for recharge, • Paid parental and adoption leaves, • Professional development opportunities for all employees regardless of level or role, • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections, • Vibrant office culture with world class amenities, • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at _. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\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 Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \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 • \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 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 6 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 7 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 complex AI systems \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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \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 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 Director, AI Engineering -Agentic AI Platform(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, • 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, • 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, • 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, • 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, • Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles\n, • Establish a multi-year roadmap for scalable, reliable, and compliant AI systems that serve as shared infrastructure across the enterprise\n, • Champion Responsible-AI, ensuring ethical, transparent and explainable model practices are embedded in all lines of business\n, • Oversee the scaling of AI operations - including model lifecycle management, observability, and cost efficiency - across hundreds of production use cases\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 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, • 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 or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies\n, • At least 5 years of people leadership experience\n\n \n Preferred Qualifications: \n\n • 7+ years of experience managing and leading an engineering team\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 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 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, • Demonstrated experience leading leaders and multiple AI engineering organizations across product, platform and applied research domains\n, • Proven success in building enterprise-scale AI platforms and capabilities serving diverse business lines and customer use cases\n, • Ability to influence executive leadership on AI investment strategy, organizational design, and risk management priorities\n, • Experience establishing external partnerships or thought leadership presence in AI industry, academia, or open-source communities\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): $286,200 - $326,700 for Sr. Director, AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Director, 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).

Construction Office Engineer US-NY-New York Job ID: 2026-3411 of Openings: 1 Category: REI LiRo-Hill Overview We are seeking a qualified Construction Office Engineer for MTA Projects (NICET Level III or IV) located in Manhattan, NY. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E and Construction Management firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston, Needham, MA and Edison, NJ. Responsibilities Our Resident Engineer Inspection division has a need for on-site NICET Office Engineers for MTA projects. • Document control, • Contractor payment processing, • Change order processing, • Maintain detailed project files/logs, • Review daily inspector reports Qualifications • Qualified candidates will have a minimum of 5 years of highway and/or bridge office engineer experience., • Degree in Engineering, Construction Management, or related field is preferred, • Recent NYCDOT and/or NYSDOT project experience required, • NICET certification (Level III or IV) is a plus, • NYCDDC experience will be considered, • Extensive experience with MS Office Suite applications, particularly Word and Excel, • Strong oral and written communication skills, • Experienced with on-line project management software, • Strong organizational and communication skills, • Able to collaborate/coordinate with clients, designers, contractors, and field staff, • Public agency experience a plus, • Authorized to work in the United States and maintains current Driver’s License, • Authorized to work in the United States and maintains current Driver’s License. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. Please visit our website for all of our career opportunities at _ • We offer a competitive salary commensurate with experience, a comprehensive benefits package and a positive work environment., • Compensation: Min: $100k - Max: $125k. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined based on the individual candidate's qualifications and location., • Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 Compensation details: 100000-125000 Yearly Salary PI0cf3a2e01f30-38003-41759088

Senior Electrical Engineer/AVP US-NY-New York Job ID: 2026-3324 of Openings: 1 Category: MEP LiRo-Hill Overview We have an immediate need for a Senior Electrical Engineer for our NYC/Syosset location. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities We are seeking an experienced Senior Electrical Engineer to lead the planning, design, and delivery of electrical systems for complex transportation infrastructure projects. The ideal candidate will have deep technical expertise, strong leadership skills, and experience working on large, multidisciplinary transportation projects. This role involves technical oversight, design leadership, mentoring junior engineers, and collaboration with clients, agencies, and project teams to deliver safe, resilient, and codecompliant electrical systems for transit, rail, roadway, tunnel, and airport projects. Technical Leadership & Design • Lead the design and specification of electrical systems for transportation projects, including:, • Power distribution (medium and low voltage), • Lighting and controls, • Traction power and substations (rail/transit), • Communications, SCADA, and control systems, • Fire life safety and emergency power systems, • ITS, signal power, and roadway electrical systems, • Prepare and review design drawings, calculations, technical reports, and specifications, • Ensure designs comply with applicable codes, standards, and authority requirements, including NEC, NFPA, IEEE, AASHTO, and local agency standards, • Perform load analysis, shortcircuit analysis, grounding, protection coordination, and energy studies, • Evaluate new technologies and sustainable design solutions for transportation infrastructure Project Management & Coordination • Serve as discipline lead or technical manager for electrical scope on multidisciplinary projects, • Coordinate electrical designs with civil, structural, mechanical, and systems engineering disciplines, • Support development of project schedules, budgets, staffing plans, and risk mitigation strategies, • Participate in design reviews, constructability reviews, value engineering studies, and quality control processes Client & Stakeholder Engagement • Interface with transportation agencies, utilities, contractors, and client representatives, • Present technical concepts and design solutions to both technical and nontechnical audiences, • Support proposal development, including scope definition, fee estimates, and technical narratives Mentorship & Team Development • Mentor and guide junior and midlevel engineers, • Perform technical reviews and provide constructive feedback to ensure highquality deliverables, • Contribute to the development of internal standards, best practices, and lessons learned Qualifications • Bachelor’s degree in Electrical Engineering (required), • Professional Engineer (PE) license (required), • Minimum of 15 years of progressive experience in electrical engineering for transportation or large infrastructure projects, • Demonstrated experience delivering projects for:, • Transit and rail systems, • Highways, bridges, tunnels, and airports We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus, • Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $175,000 Max: $225,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 PIb9717f838930-38003-40290809

Construction Resident Engineer US-NJ-Newark Job ID: 2026-3270 of Openings: 1 Category: REI LiRo-Hill Overview We have an immediate need for an Resident Engineer in New Jersey. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities The Resident Engineer (RE) serves as the on-site representative of the project management team, responsible for overseeing daily construction activities, ensuring project compliance with design specifications, schedules, budgets, and safety standards. The RE plays a vital role in coordinating between contractors, consultants, clients, and regulatory agencies, ensuring successful delivery of engineering and construction projects. • Act as the client’s on-site representative during construction., • Monitor daily construction activities for quality assurance and compliance with project specifications, codes, and standards, including gathering detailed measurements., • Coordinate with design engineers, construction contractors, inspectors, and program management staff., • Conduct regular site inspections and lead field meetings with stakeholders., • Review and approve contractor submittals, RFIs, change orders, and progress payments., • Maintain accurate documentation including daily reports, logs, as-builts, photographs, Correspondence and Documentation of Contractor Performance, • Identify and mitigate construction-related risks or delays; escalate critical issues when necessary., • Enforce safety policies and procedures in accordance with OSHA and project- specific requirements. • Participate in project meetings and prepare status reports for senior management and client stakeholders., • Ensure environmental, permitting, and regulatory compliance on-site., • Contract Administration, • Work with the Project Manager and/or Billing team for invoicing and Payment Processing, while Monitoring Contract Cost and Schedule Qualifications • NJ Professional Engineer License Required., • NJDOT experience required., • Must have a minimum of a Bachelor’s degree in Civil Engineering, Construction Management, or a related field., • Minimum 7 years of experience in construction supervision, site engineering, or resident engineering., • Ability to supervise staff., • Experience working on highway, bridge and/or rail projects., • The Resident Engineer should possess a working knowledge of the following: shop drawing review, scheduling, permitting and inspection requirements., • Ability to work independently with minimal supervision while contributing to overall team success., • Experience with large-scale or multi-site program management environments preferred., • Familiarity with project delivery methods (e.g., Design-Bid-Build, CM/GC, Design- Build)., • Proficiency in construction management software (e.g., Procore, Primavera P6, MS Project)., • Strong knowledge of construction codes, safety regulations, and industry standards., • Excellent communication, coordination, and leadership skills. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. • We offer a comprehensive benefits package and a positive work environment, • Compensation: Min $160,000/yr. - Max $195,000, • The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 Compensation details: 80-95 Hourly Wage PIbfcd9f0f2c0a-38003-39670461

Project Officer II / III US-NY-Long Island City Job ID: 2023-2793 of Openings: 2 Category: Construction Management The LiRo Group Overview We have an immediate need for a Project Officer II & III for our NYC locations. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities • Provide the administration and coordination of activities for the design and construction of the more complex and/or highly visible construction and modernization projects under the guidance of a senior level Project Officer, • Ensure the quality and high standards of performance and compliance in both design and construction by all consultants, vendors, etc., • Make decisions and act in a timely manner to expedite the timely completion of the construction process., • Correct mistakes and errors in design and construction before they can be extensively incorporated into the project or as early in the construction process as possible., • Work with architect/engineer of record regarding change orders, interpretation of contract documents, shop drawing submittals/approvals and other technical matters as required to ensure a structurally sound, code compliant and aesthetic facility., • Participate in the development and issuance of project procedures and policies; review and make recommendations on company wide policies and procedures., • Provide ongoing interface with contractors, construction managers, local school personnel and Senior Project Officers on project issues; routinely interact with senior managers on such matters, • Make decisions on phasing and scheduling of projects. Prepare and/or ensure preparation of schedules for planning, design and construction. Monitor schedules and take appropriate actions to ensure that project is completed on schedule and within approved cost limitations. Qualifications • Must have: Bachelor’s degree in construction management, Engineering or Architecture, • 5 years of full time, progressively responsible work as a technical specialist in one or more construction and design related fields; 2 years must involve managing all phases of construction work on a scale an scope similar to education building projects, • A valid NYS Drivers License, • A satisfactory combination of education and experience, • Ability to multi-task on several projects at once We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus, • Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $100,000 Maximum: $139,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 • Please visit our website for all of our career opportunities at _ Compensation details: 100000-139000 Yearly Salary PI021f1039d603-38003-32379883

Program Master Scheduler US-NY-NYC Job ID: 2026-3385 of Openings: 1 Category: Construction Management The LiRo Group Overview Seeking a Program Master Scheduler for a High Rise Design Build Project. This is an immediate need. LiRo-Hill is ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ.You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. Responsibilities As the Program Master Scheduler, you are expected to demonstrate exceptional communication, leadership, and teambuilding skills. This role requires the ability to work independently and collaboratively, with full transparency, in alignment with Client and Program requirements. You will be responsible for managing the schedule team and supporting them in their review, analysis and reports of the construction schedules submitted by the Design-Builders. One of your main priorities is to ensure the Program Master Schedule is developed and maintained and aligned across the entire program. This position will report to the Program Manager and will work closely with the Program Deputies, Program Controls Manager, and the facility Senior Project Manager. Position Duties and Responsibilities include, but are not limited to: Proficiency in Primavera P6. Manage the Scheduling team, providing guidance and support while assisting with reviews of cost-loaded and resource-loaded schedules. Demonstrated ability to collaborate seamlessly across multiple projects, with strong awareness of on-site construction activities (high-rise work) to ensure accurate and timely updates to the Program Master Schedule. Develop, update, and maintain the Program Master Schedule. Prepare monthly schedule narrative reports, including analysis of monthly findings, identification of schedule impacts, and recommendations for corrective action plans to mitigate or avoid cost and/or schedule overruns. Monitor, review, and report the Program Master Schedule status to the Client and Executive Management Team. Must be proficient in PowerPoint, with the ability to prepare, explain, and present scheduling findings in meetings with the Client, A/E representatives, and other stakeholders. Develop “what-if” scenarios, mitigation schedules, look-ahead schedules, and perform Time Impact Analyses (TIA). Demonstrated expertise in Time Impact Analysis (TIA) methodologies. Identify schedule risks, opportunities, and corrective actions to proactively mitigate potential project delays. Conduct change orders by validating schedule impacts Perform estimation reviews to confirm assumptions and constructability Participate on modification request analysis by developing impact narratives, identifying dependencies, and supporting timely approvals Preferred Skills: As the Program Master Scheduler, you must possess the following abilities: Must have experience in Institutional/Highrise building construction. Proficient in using Primavera P6, MS Project and Microsoft Office (Word, Excel, PowerPoint). Experience in both project and program level collaboration and reporting. Design and Construction Schedules using Critical Path Method (CPM). Relevant construction scheduling experience in planning, scheduling, expediting, maintaining, and reporting the progress/status of work. Must have reliable, proven, and verifiable record of career stability and scheduling success. Understanding construction and construction means and methods. Strong communication and relationship-building skills. Qualifications Bachelor's Degree (BA/BS) in Engineering, Architecture and/or Construction management 12 - 15 years of experience in planning and scheduling / project controls / program controls Experience on multiple sides of the business (i.e., Consultant, Owner, Owner Representative, Architect, Contractor, Engineer) Experience in Vertical Construction (Highrise Buildings) Experience with Value Management & Reporting Experience in claims defense & prevention (TIA) Field experience, preferred BIM and Risk analysis knowledge a plus DBIA and CCM credentials a plus LiRo-Hill Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. • We offer a comprehensive benefits package including insurance, PTO and an ESOP plus a positive work environment!, • Compensation range $75 per hour to $90 per hour., • The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidate's qualifications and client approval., • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 #LI-CM1 Compensation details: 75-90 Hourly Wage PI491824bf37bc-38003-41444836

AI Engineer 4 (Vision model (VLM) customization experience)\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).

Job Description SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. MOBILE IOS ENGINEER We're seeking an exceptional iOS engineer to join a small, high-impact team building X for iOS, the app millions of people use every day to see what's happening and join the global town square. You'll work in a fast paced environment and take ownership of constantly improving the app; from groundbreaking new features to micro optimizations. RESPONSIBILITIES: • Craft delightful, intuitive user experiences that redefine how people interact with the app, • Obsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless, • Build blazing-fast, highly performant systems where every millisecond counts, • Drive technical and product decisions, collaborating with designers, backend, android and web engineers, • Own the quality of the products you build - including running a/b tests, finding issues, and proactively making improvements, • Be proactive in finding ways to improve the app - from user feedback and from your own daily experience on the appBASIC QUALIFICATIONS:, • 5+ years of experience in Swift and UIKitPREFERRED SKILLS AND EXPERIENCE:, • Deep expertise in the Apple ecosystem and related development tools, • Track record of shipping standout apps or standout features within apps, • Deep expertise in iOS development, particularly with Swift. We seek individuals who operate at the highest levels of their craft, • Excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at SpaceXSI—we must act decisively to succeed, • A sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value, • Proficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems, • Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with UI's, • Skilled in concurrency and reactive programming (Combine) for responsive, real-time apps, • Built high-throughput integrations with APIs or AI model outputs, ensuring seamless data flow, • Capable of owning complex features end-to-end, from architecture to App Store deployment, with a focus on speed and scalabilityCOMPENSATION AND BENEFITS: $180,000 - $330,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job Description Data Center Operations Engineer Location: New York / New Jersey Business Area: Engineering & CTO Compensation: $32 $48 per hour Schedule: Rotating Shifts (Days, Evening, Nights, Weekends) Position Overview We are seeking a motivated Data Center Operations Engineer to support the deployment, maintenance, and reliability of critical production infrastructure. This role is ideal for someone who enjoys solving technical problems, working with Linux systems, server hardware, and enterprise networking, and collaborating in a fast-paced, mission-critical environment. As part of the data center operations team, you will install and maintain servers, network equipment, and cabling while monitoring infrastructure health and responding to operational incidents. Success in this role requires strong technical aptitude, attention to detail, effective communication, and a commitment to continuous improvement. Key Responsibilities • Monitor, troubleshoot, and respond to data center infrastructure events to maintain high availability., • Install, configure, maintain, and replace server, storage, and networking hardware., • Perform hardware diagnostics, repairs, and preventive maintenance., • Troubleshoot Linux/Unix operating system issues using system logs and command-line tools., • Support Layer 2 and Layer 3 network connectivity and assist with network troubleshooting., • Manage rack installations, cable routing, labeling, and physical asset documentation., • Assess operational risks, coordinate maintenance activities, and communicate service impacts., • Maintain accurate documentation of infrastructure, equipment, and network connections., • Escalate critical incidents and collaborate with engineering teams to resolve production issues., • Contribute to process improvements that enhance data center reliability, efficiency, and operational excellence. Required Qualifications, • Working knowledge of Linux/Unix administration, including system logs, hardware identification, file systems, and file management., • Understanding of Layer 2 and Layer 3 networking concepts., • Strong troubleshooting and analytical problem-solving skills., • Ability to manage multiple priorities in a production environment., • Excellent written and verbal communication skills., • Able to work rotating shifts, including days, evenings, nights, weekends., • Ability to lift up to 25 pounds and perform physical work within a data center environment. Preferred Qualifications, • Experience replacing server and network hardware., • Familiarity with Cisco IOS and Juniper JunOS., • Experience with monitoring and observability tools such as Grafana and Splunk., • Basic scripting or programming experience (Bash, Python, or similar)., • Knowledge of airflow management, power systems, cabling standards, and equipment installation., • Demonstrated leadership, collaboration, and a passion for mentoring teammates. Work Environment This position involves hands-on work in a production data center supporting critical infrastructure. Engineers collaborate closely with operations and engineering teams to ensure system stability, rapid incident response, and continuous service availability while adhering to operational and safety standards.

Job Description Position Summary • We are seeking a skilled Data Engineer to design, develop, and support modern data platforms and pipelines that power analytics, reporting, and AI-driven solutions., • The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Oracle, and Apache Airflow, with exposure to AI/Generative AI technologies. Responsibilities • Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL., • Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation., • Integrate and transform data from Oracle, APIs, AWS services, and other enterprise systems., • Build and manage workflow orchestration using Apache Airflow., • Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS., • Ensure data quality, reliability, security, and governance across the data platform., • Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases., • Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions. Required Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field., • 5 years of experience in Data Engineering or Data Platform development., • Strong hands-on expertise in:, • Snowflake, • SQL (Advanced), • Python (Advanced), • AWS, • Oracle, • Apache Airflow, • Experience designing and supporting enterprise-scale data pipelines and data warehouses., • Strong understanding of data modeling, performance optimization, and cloud-based data architectures., • Excellent analytical, problem-solving, and communication skills. Preferred Qualifications • Experience with Snowpark, Streams, Tasks, and Dynamic Tables., • Exposure to AI/ML, Generative AI, RAG architectures, or vector databases., • Experience with Spark, Kafka, or Databricks., • SnowPro and/or AWS certifications., • Experience in financial services or capital markets environments. Key Skills • Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data Modeling | Snowpark | AI/GenAI | Data Governance, • Ideal Candidate: A hands-on engineer with deep SQL and Python expertise, capable of building scalable cloud-native data solutions while helping enable the organization's AI and analytics strategy.

Job Description Northeast preferred, particularly NY/NJ and surrounding areas. Frequent site travel, concentrated during outages; work arrangement to be confirmed We are partnering with an established, infrastructure-investment-backed power generation business to appoint a Fleet Thermal Engineer. This role will help build a robust boiler and HRSG reliability program and establish consistent engineering standards across a predominantly combined-cycle fleet. What you will do • Develop fleet-wide boiler and HRSG engineering standards, inspection plans, reliability practices and corrective-action processes., • Serve as a technical resource for boilers and HRSGs, with supporting expertise in high energy piping, pressure systems and steam-cycle equipment., • Investigate boiler and HRSG failures, identify root causes and translate findings into practical prevention measures across the fleet., • Plan and support scheduled and forced outages, including inspection scope, repair recommendations and review of findings., • Partner with operations, maintenance, vendors and fleet engineering teams to implement practical solutions. What you will bring • At least seven years of relevant power-generation engineering experience; ten or more years preferred., • Strong boiler or HRSG expertise, supported by experience with high energy piping, steam-cycle systems and outage engineering., • An engineering bachelor’s degree, preferably Mechanical Engineering. Electrical, Industrial or related Engineering backgrounds may be considered with relevant experience., • Experience developing reliability programs or engineering standards, with the ability to secure adoption across plant teams. Multi-asset or fleet exposure is especially valuable., • Willingness to travel frequently to Northeast plants, particularly during outages. Travel was initially estimated at up to 40%; the expected pattern will be discussed. A PE license is preferred, not required.

Job Description Senior Protection & Control Engineer (Resident) - New England areaLocation: Northeastern United States (Preference given to candidates residing in New England) Pay:Depends on Skills & Experience - when submitting your resume, please indicate your hourly (or salary) requirements and allow us to meet your requirements.Schedule: 4 x 10-Hour Workweek (Monday - Thursday) Overtime opportunities may be available as approved and/or requested by our clients to support project schedules and outage requirements. Benefits: • Company Vehicle Provided, • Per Diem, • Paid Hotel Accommodations (when applicable), • Medical, Dental & Vision Insurance, • 401(k), • Paid Time Off (PTO), • Career Advancement Opportunities, • Work with some of the nation's leading electric utilities and power delivery clientsAbout the Opportunity Powerserve Technologies is seeking an experienced Senior Protection & Control Engineer (Resident) to support and lead highly technical Protection & Control field activities on utility substation projects throughout the Northeastern United States. This is a unique opportunity for an experienced P&C professional who enjoys working in the field, leading technical teams, interfacing directly with utility clients, and helping build a regional Protection & Control organization from the ground up. The ideal candidate will reside in the New England region and possess a strong background in substation commissioning, relay testing, troubleshooting, protection systems, and field execution. This individual will play a key role in supporting major utility infrastructure projects while helping recruit, mentor, and develop future P&C Engineers and Technicians as our presence in the region continues to expand. Essential Duties & Responsibilities • Lead and oversee Protection & Control field activities on utility substation projects., • Coordinate and direct P&C Engineers, Technicians, and subcontractors during commissioning and testing activities., • Perform and/or supervise relay testing, commissioning, troubleshooting, and energization support., • Interpret and review protection and control drawings, schematics, wiring diagrams, and construction packages., • Perform point-to-point checks, functional testing, and system validation activities., • Troubleshoot protection, control, communications, and SCADA systems., • Support outage planning, switching coordination, and project execution activities., • Serve as a primary technical interface with utility clients, project managers, engineers, and construction teams., • Ensure compliance with client specifications, industry standards, company procedures, and safety requirements., • Provide technical guidance, mentorship, and training to junior engineers and technicians., • Assist in developing and growing a highly skilled regional Protection & Control team., • Support project planning, scheduling, manpower forecasting, and resource allocation activities., • Prepare technical reports, commissioning documentation, and project closeout packages.QualificationsRequired:, • Minimum 7+ years of Protection & Control experience within the electric utility industry., • Strong knowledge of utility substation protection and control systems., • Experience performing relay testing, commissioning, troubleshooting, and startup activities., • Ability to read and interpret complex electrical drawings and protection schematics., • Experience leading field teams on utility substation projects., • Strong communication and client-facing skills., • Valid driver's license with an acceptable driving record., • Ability to travel throughout the Northeastern United States as required.Preferred:, • Bachelor's Degree in Electrical Engineering or related field., • Professional Engineer (PE) License., • NETA Certification., • Experience with SEL, GE, ABB, Siemens, Schweitzer, Beckwith, or similar relay platforms., • Experience supporting transmission and distribution substations., • Previous experience managing crews and mentoring technical personnel., • Existing relationships within the utility or power delivery industry.Why Join Powerserve? At Powerserve Technologies, we are committed to building a team of highly skilled professionals who take pride in delivering safe, reliable, and high-quality solutions for our utility clients. This role offers the opportunity to become a key leader within our growing organization and help shape the future of our Protection & Control services throughout the Northeastern United States. If you're looking for a long-term opportunity where your technical expertise, leadership abilities, and industry knowledge can make a lasting impact, we'd like to speak with you.

Job Description Wireless Network Engineer Location: Boston, MA/ New York City, NY Long Term Contract Key Responsibilities • Design, deploy and optimize enterprise wireless LAN solutions across office and industrial environments., • Conduct wireless surveys (predictive & onsite), RF analysis and coverage optimization., • Lead troubleshooting for complex Wi Fi issues, including authentication, interference and performance degradation., • Create and update Low Level Designs (LLDs) for Wi Fi, NAC and related network services., • Produce accurate Bill of Materials (BoM) for new deployments, refresh programmers and upgrade initiatives., • Support Wi Fi lifecycle management including hardware upgrades, software updates and capacity planning., • Work with stakeholders across IT, operations and platform teams to define requirements and deliver scalable solutions., • Contribute to standards, best practices, design documentation and knowledge sharing within the network engineering chapter. Required Skills & Experience • Strong hands on experience with enterprise WLAN technologies (Cisco, Aruba)., • Must Have deep understanding of: o RF fundamentals (channel planning, power, interference mitigation etc.) o 802.11 standards including Wi Fi 5/6/6E/7 o WLAN authentication (EAP methods, RADIUS, role based access) o Enterprise controllers, cloud managed Wi Fi platforms and policy engines o Proficiency with wireless survey tools (Ekahau, Hamina etc.) • Experience with Cradle point, or similar 5G cellular enabled networking platforms, • Experience supporting large scale Wi Fi environments in complex organisations., • Experience with Aruba ClearPass for 802.1X, RADIUS, profiling and role-based access, • Ability to interpret network analytics, performance data and incident trends., • Excellent communication skills and comfort engaging with both technical and non-technical stakeholders.

Job Description Our client, a highly respected A-rated insurance carrier, is seeking a seasoned Senior Software Engineer (.NET / Azure) to join their growing IT department. This is a unique opportunity to play a key role in driving cutting-edge digital transformation initiatives within a leading organization in the Property & Casualty Insurance industry. The ideal candidate will bring deep technical expertise, innovative problem-solving skills, and the ability to collaborate effectively across teams. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York. Key Responsibilities: • Design, develop, and deploy enterprise-level applications using Microsoft development tools and frameworks., • Participate in full lifecycle development efforts, ensuring scalability, performance, and security best practices are followed throughout., • Leverage Microsoft Power Platform tools to streamline and optimize business processes., • Collaborate closely with business stakeholders, IT leadership, and cross-functional teams to align software solutions with organizational goals., • Contribute to architectural decisions, conduct code reviews, and provide technical guidance to peers., • Research and evaluate emerging technologies, recommending strategic solutions that advance the company’s digital initiatives., • Maintain high standards of software quality, reliability, and maintainability through consistent best practices and documentation. Qualifications/Requirements:, • 5- 10+ years of practical, hands-on development experience with C#, .NET, and Azure., • Hands-on experience designing and delivering cloud-based solutions within the Microsoft Azure ecosystem, including services such as App Services, Functions, Azure DevOps, Azure SQL, and other platform or infrastructure offerings., • Current Microsoft Azure certification is a plus., • Strong development background using C# and SQL, with practical experience working in SQL Server environments and management tools., • Advanced, in-depth expertise with Microsoft Power Platform tools, including Power Apps, Power Automate, and Dataverse. Background working with applications in the property and casualty insurance sector highly preferred., • Demonstrated success building scalable back-end services, including the design and implementation of RESTful APIs and layered API architectures (process- and experience-level APIs)., • Bachelor’s degree in Computer Science, Software Engineering, Information Science, or a related technical field from an accredited U.S. institution. Salary/Benefits:, • $170,000 - $190,000+ annual base salary plus 10-20% bonus, • Ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer-matching 401(k) plan, • Lucrative PTO plan, • Succession Planning and tremendous Advancement Potential

Job Description SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, IMAGINE SAFETY The Imagine team is redefining AI-driven media experiences for Grok users worldwide. As a Product Safety Engineer on the Imagine team, you will build the critical safety systems and infrastructure that ensure Grok's multimodal generation capabilities (images, video, audio, and beyond) are powerful, delightful, and responsibly deployed. You'll design and scale safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. Your work will directly shape how millions of users experience generative media — balancing rapid innovation with rigorous safety, trustworthiness, and alignment with SpaceXSI's mission. If you're a driven engineer passionate about AI safety, content integrity, and building robust systems that protect users without stifling innovation, this is your opportunity to make a lasting impact at the frontier of multimodal AI. RESPONSIBILITIES: • Design and implement scalable safety systems for Grok's media generation platform, including real-time content moderation, risk detection, and safeguard enforcement for images, video, and audio, • Build infrastructure to measure, monitor, and mitigate safety risks such as harmful content, bias, deepfakes, intellectual property issues, and misuse at global scale, • Develop tools, pipelines, and evaluation frameworks that enable rapid iteration on safety policies in collaboration with researchers, product, and policy teams, • Architect robust feedback loops between user interactions, model outputs, and training data to continuously improve safety while maintaining high performance and low latency, • Own full-cycle development of safety features: from problem definition and prototyping to deployment, monitoring, incident response, and long-term refinement, • Partner closely with the Imagine engineering, research, and product teams to embed safety into core features and deliver delightful yet responsible user experiencesBASIC QUALIFICATIONS:, • 2+ years of professional software engineering experience building and shipping user-facing productsPREFERRED SKILLS AND EXPERIENCE:, • Proficiency in Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code, • Experience designing and building production safety, trust & safety, or content moderation systems for consumer-facing products at scale, • Hands-on expertise developing real-time detection systems, data pipelines, or evaluation frameworks for high-throughput AI applications, • Proven ability to deliver robust, reliable solutions that reach millions of users while maintaining high standards of uptime and performance, • Strong problem-solving skills and a passion for turning complex safety challenges into practical, high-impact engineering solutions, • Deep enthusiasm for responsible AI development and a commitment to building systems that advance humanity's understanding while protecting users, • Experience with multimodal content safety (images, video, audio) or generative AI safety in production environments, • Familiarity with machine learning classifiers, safety evaluation, red-teaming, or adversarial testing for media generation models, • Background in distributed systems, real-time inference serving, Kubernetes, observability tools, or large-scale data infrastructure, • Track record collaborating across engineering, research, and policy teams to ship safety-critical features quickly and effectively, • Previous work on content moderation, anti-abuse, model alignment, or responsible AI at consumer AI productsADDITIONAL REQUIREMENTS:, • Onsite role: must be able to work in person at our office locations in Palo Alto, San Francisco, or New YorkCOMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job Description ABOUT UPCLEAR UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore. POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data and reporting layers. This role is also open to contractors. You will focus on building a robust SQL-based data warehouse, improving data models for business intelligence, and leveraging Microsoft Fabric to create efficient, reliable data pipelines. The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics. Please note: We are not able to provide sponsorship for employment authorization at this time. This role requires 4 days on site collaboration per week. You must be able to commute to our West 22nd Street office in New York. RESPONSIBILITIES • Design and optimize data architecture to support scalable, high-performance reporting and analytics, • Develop and maintain SQL-based data warehouse structures, • Improve and standardize data models used for BI and reporting tools, • Build and manage data pipelines using Microsoft Fabric, • Ensure data quality, consistency, and governance across reporting layers, • Collaborate with business and analytics teams to translate requirements into efficient data solutions, • Identify performance bottlenecks and implement improvements in data storage and query performance, • Document data models, architecture, and processes Requirements • Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field., • Proven experience as a Data Architect or Senior Data Engineer in BI environments, • Strong expertise in SQL and data warehouse design principles, • Hands-on experience with dimensional modeling (Kimball or similar), • Experience with Microsoft Fabric, • Deep understanding of BI/reporting workflows and data optimization techniques, • Familiarity with modern data architecture patterns, • Strong problem-solving skills and ability to work cross-functionally, • Hands-on mindset: comfortable contributing technically while shaping the strategic direction. Nice to Have • Experience working with Consumer Packaged Goods (CPG) data (POS data, syndicated data, sales and distribution), • Familiarity with Power BI or other visualization tools, • Exposure to data governance and data quality frameworks, • Experience working in a fast-paced, scaling environment Benefits WHY UPCLEAR ? • Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore, • Work on latest Cloud technology and build architecture for fast-growing Tech, • Weekly happy hours, good office culture, global cross team collaboration, direct access to executive leadership for guidance. UpClear employees have access to a range of competitive benefits, including • Various Health Care Plans you can choose from to best fits your needs (Medical, Dental & Vision), • Retirement Plan with company match (401k, IRA), • Generous Paid Time Off package that grows with seniority (Vacation, Sick, and Public Holidays), • Paid Maternity leave, • Paid Parental bonding leave, • One month paid sabbatical after five continuous years of work at UpClear, • Hybrid work model, • Competitive Salary ($150K - $200K) The salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary several factors may be considered as applicable including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority. For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on the scope of work and experience level. The estimated pay range for this role is $77 to $97 per hour. Final compensation will be determined based on factors such as skills, experience, and agreed-upon deliverables.

Job DescriptionBenefits: • 401(k), • Competitive salary, • Dental insurance, • Health insurance, • Paid time off, • Vision insurance SRE Engineering, D.P.C., a NYC-based M/WBE engineering and construction management firm, is seeking a Resident Engineer for NYC DEP pump station and wastewater resource recovery facility (WRRF) projects. Responsibilities • Lead field oversight of contractor work for compliance with plans, specifications, and DEP standards, • Oversee mechanical, electrical, process, and structural work in operating facilities, • Coordinate with plant operations to maintain treatment and pumping during construction, • Manage inspection staff, daily reports, RFIs, submittals, change orders, and payment requisitions, • Support testing, startup, commissioning, and closeoutQualifications, • 10+ years of resident engineering or construction management on public infrastructure, • NYC DEP pump station or WRRF/WWTP experience required, • Experience with pumps, power distribution, process equipment, and SCADA preferred, • P.E. preferred, • Bachelor's degree in civil, mechanical, or electrical engineering

Job Description Position Overview Harris Energy Solutions, LLC (HES) is a nationwide Energy Consulting Services firm. HES offers a full suite of consulting services, including Building Energy Modeling, Renewable Energy Consulting, Master Planning, Energy Audit, Building Commissioning, Measurement and Verification, and Building Retro-Commissioning. We pride ourselves on the work we perform and the services we provide. HES is hiring an Energy Engineer specializing in Building Commissioning to join our team. The Energy Engineer (Commissioning) will support and execute new construction commissioning (Cx) and retro-commissioning (RCx) projects across a portfolio of commercial, institutional, and multi-family buildings. This role focuses on verifying that building systems are designed, installed, tested, and operated to meet the Owner's Project Requirements and applicable code, certification, and performance criteria. Responsibilities • Develop Commissioning Documentation: Author commissioning plans, Owner's Project Requirements (OPR) summaries, Basis of Design (BOD) reviews, issues logs, and final commissioning reports., • Perform Design and Submittal Reviews: Review drawings, specifications, sequences of operation, and contractor submittals to identify deficiencies, design intent gaps, and commissioning impact items., • Create Pre-Functional and Functional Checklists: Develop equipment-specific Pre-Functional Checklists (PFCs) and Functional Performance Test (FPT) scripts for HVAC, plumbing, electrical, controls, and life safety systems., • Conduct Site Visits and Construction Observation: Perform installation verification site visits, document open issues, and coordinate with general contractors, mechanical/electrical contractors, controls vendors, and TAB agents., • Execute Functional Performance Testing: Lead and witness FPTs of air-side, water-side, BAS, lighting controls, and emergency power systems; verify sequences of operation and proper system response., • Support Retro-Commissioning Studies: Conduct onsite performance testing of existing building systems, identify Retro-Commissioning Measures, and quantify low- and no-cost operational savings., • Develop Systems Manuals and Training: Compile systems manuals and assist with O&M training to support owner handoff., • Support Certification and Compliance: Support LEED Fundamental and Enhanced Commissioning, ASHRAE Guideline 0/1.1/1.5, and project-specific certification requirements. Requirements • Bachelor's in Engineering (Mechanical, Electrical, or Facilities), • 1-3 years of experience in commissioning, MEP design, construction, or energy engineering, including at least one internship, co-op, or full-time role, • Working understanding of HVAC equipment (AHUs, chillers, boilers, VRF, VAV, terminal units), BAS sequences of operation, and basic electrical systems, • Familiarity with construction documents, specifications (CSI MasterFormat), and submittal review, • Exposure to LEED commissioning requirements and/or ASHRAE Guideline 0 preferred, • Comfortable working onsite in active construction environments (PPE required), • Proficient in Microsoft Office and PDF markup tools (Bluebeam, Adobe), • Experience with large commercial and multi-family buildings preferred but not necessary, • EIT, CxA, BCxP, or LEED AP credential preferred (or willingness to obtain), • Travel throughout the United States as required by project workload Personal Qualifications • Strong analytical, writing, and presentation skills, • Passionate about mitigating climate change, • Collaborative and a strong team player, • Self-motivated with the ability to multitask and pay attention to detail, • Ability to work independently and within a team environment, • Enthusiasm to learn and grow as a professional Applicants must be legally authorized to work in the U.S. without the need for current or future employer-sponsored work authorization Job Type: Full-time Pay: $70,000.00 - $82,000.00 per year Benefits • 401(k) (Traditional and Roth options), • 401(k) Safe Harbor, • Medical Insurance, • Dental Insurance, • Vision Insurance, • HSA option, • Paid Time Off, • Paid Holidays, • Profit Share Plan, • Company Covered Disability Insurance (LTD, STD), • Company Covered Life Insurance, • Company Covered Financial Advising Schedule • 8-hour shift, • Hybrid with 3 office days Work Location: Piscataway, NJ & Whitestone, NY (Hybrid - T/W/Th in office) EEO Statement: All qualified applicants will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, or sex.