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  1. Home
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  5. Sr. Lead AI Engineer (AI Foundations)
Capital One logo

Sr. Lead AI Engineer (AI Foundations)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Mission

At Capital One, we are creating responsible and reliable AI systems to change banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

About the Team

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 partners across the company to advance the state of the art in science and AI engineering. Our team builds and deploys 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.

About the Role

In this role, you will partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

You will design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems. Additionally, you will contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.

The Ideal Candidate

You love to build systems, take pride in the quality of your work, and share our passion to do the right thing. You want to work on problems that will help change banking for good. You have a passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems, articulating your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply technical, possessing a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that enables you to see and exploit optimization opportunities that others miss. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Hiring Process

Candidates hired to work in other locations will be subject to the pay range associated with that location. The actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is expected to accept applications for a minimum of 5 business days.

Equal Opportunity

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 and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleDesign, develop, test, deploy, and support AI software components including foundation model training and LLM inference
  • check_circlePartner with cross-functional teams to deliver AI-powered products that enhance customer and associate experiences
  • check_circleInvent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput
  • check_circleLeverage Open Source and SaaS AI technologies such as AWS, Huggingface, VectorDBs, and PyTorch
  • check_circleImplement model evaluation, experimentation, governance, and observability for production AI systems
  • check_circleContribute to the technical vision and long-term roadmap of foundational AI systems

Requirements

  • verifiedBachelor's degree in CS, AI, EE, or related fields plus 6 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or related fields plus 4 years AI/ML experience
  • verified6+ years experience programming with Python, Go, Scala, or Java
  • verifiedWork authorization sponsorship available

Nice to Have

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). Experience designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders. Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang. Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Benefits & Perks

check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentivescheck_circleComprehensive, competitive, and inclusive set of health, financial, and other benefits
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

6+ yrs (Lead)

Education

Bachelor's degree in CS, AI, EE, or related fields with 6+ years experience

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Python, Go, Scala, Java, Aws, Google Cloud, Azure, LLM Inference, Similarity Search.

Education: Bachelor's degree in CS, AI, EE, or related fields with 6+ years experience; Master's degree in CS, AI, EE, or related fields with 4+ years experience.

Frequently asked questions about Sr. Lead AI Engineer (AI Foundations) at Capital One

What does a Sr. Lead AI Engineer (AI Foundations) at Capital One do?expand_more
A Sr. Lead AI Engineer (AI Foundations) at Capital One is responsible for the following: Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference; Partner with cross-functional teams to deliver AI-powered products that enhance customer and associate experiences; Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput; and Leverage Open Source and SaaS AI technologies such as AWS, Huggingface, VectorDBs, and PyTorch.
What are the requirements for this Sr. Lead AI Engineer (AI Foundations) role?expand_more
To qualify for the Sr. Lead AI Engineer (AI Foundations) at Capital One position, applicants should have: Bachelor's degree in CS, AI, EE, or related fields plus 6 years AI/ML experience; Master's degree in CS, AI, EE, or related fields plus 4 years AI/ML experience; 6+ years experience programming with Python, Go, Scala, or Java; and Work authorization sponsorship available.
Where is the Sr. Lead AI Engineer (AI Foundations) role at Capital One located?expand_more
Sr. Lead AI Engineer (AI Foundations) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Sr. Lead AI Engineer (AI Foundations) job remote, hybrid, or on-site?expand_more
Capital One has listed this Sr. Lead AI Engineer (AI Foundations) role as on-site.
How much experience is required for this Sr. Lead AI Engineer (AI Foundations) role?expand_more
Sr. Lead AI Engineer (AI Foundations) at Capital One typically requires 6+ years of relevant experience at the lead level.
What skills do you need for the Sr. Lead AI Engineer (AI Foundations) role at Capital One?expand_more
Key skills for Sr. Lead AI Engineer (AI Foundations) at Capital One include Machine Learning; Python; Go; Scala; Java; Aws; Google Cloud; and Azure.
What education is required for Sr. Lead AI Engineer (AI Foundations) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, or related fields with 6+ years experience; and Master's degree in CS, AI, EE, or related fields with 4+ years experience.
What category does the Sr. Lead AI Engineer (AI Foundations) role belong to?expand_more
Sr. Lead AI Engineer (AI Foundations) at Capital One is part of the it job category on Recrutus.
Recrutus

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Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Machine LearningPythonGoScalaJavaAwsGoogle CloudAzureLLM InferenceSimilarity Search
US privacy notice
Accessibility