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  1. Home
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  3. it
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  5. Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
Capital One logo

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)

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. Our investments in technology infrastructure and world-class talent, combined 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 industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and the businesses that rely on our products.

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. 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.

The Role

As a Lead AI Engineer, 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 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. This role is for those who love to build systems, take pride in the quality of their work, and share a passion for doing the right thing. You will adapt quickly, thrive on bringing clarity to big, undefined problems, and have the courage to share new ideas even when they are unproven.

Hiring Process

Capital One is committed to a fair and inclusive hiring process. We consider qualified applicants regardless of background. If you require an accommodation during the application or interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

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. We promote 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. 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).

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 Ultraclusters, 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 4 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or related fields plus 2 years AI/ML experience
  • verified4+ years experience with Python, Go, Scala, or Java
  • verifiedWork authorization sponsorship available

Nice to Have

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); Experience designing, developing, delivering, and supporting AI services; Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang; Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost; Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.

Benefits & Perks

check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

4+ yrs (Lead)

Education

Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Inference, Similarity Search, Python, Go.

Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.

Frequently asked questions about Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One

What does a Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One do?expand_more
Day-to-day, the Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One will 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 ultraclusters, huggingface, vectordbs, and pytorch.
What are the requirements for this Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree in CS, AI, EE, or related fields plus 4 years AI/ML experience; Master's degree in CS, AI, EE, or related fields plus 2 years AI/ML experience; 4+ years experience with Python, Go, Scala, or Java; and Work authorization sponsorship available.
Where is the Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role at Capital One located?expand_more
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) 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 Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role as on-site.
How much experience is required for this Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role?expand_more
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One typically requires 4+ years of relevant experience at the lead level.
What skills do you need for the Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role at Capital One?expand_more
Key skills for Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One include Machine Learning; Aws; Huggingface; Vectordbs; Nemo Guardrails; Pytorch; LLM Inference; and Similarity Search.
What education is required for Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; and Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.
What category does the Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) role belong to?expand_more
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) at Capital One is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

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

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobsVolunteer jobs
Top states
Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
Popular skills
CDL-A jobsExcel jobsEnglish jobsMicrosoft Office jobs
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Company
About usFAQContactPrivacy policy

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 LearningAwsHuggingfaceVectordbsNemo GuardrailsPytorchLLM InferenceSimilarity SearchPythonGo
US privacy notice
Accessibility