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  1. Home
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  5. Senior Distinguished AI Engineer
Capital One logo

Senior Distinguished AI Engineer

Not Disclosed•Full-TimeOn-site

location_onGrace Street Commercial Historic District, Byrd Street Cycle Track, Richmond, Virginia, 23284, United States

Apply Now

About Capital One and AI

At Capital One, we are creating responsible and reliable AI systems, changing 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 businesses.

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 and Culture

As a Senior Distinguished 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 be expected to 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.

The ideal candidate is a resilient trailblazer who loves to build systems and takes pride in the quality of their work. You will thrive on bringing clarity to big, undefined problems, digging deep to uncover root causes, and articulating findings concisely. You possess the courage to share new ideas even when they are unproven and have the ability to intuitively understand scientific publications to judiciously apply novel techniques in production. You are deeply technical, possessing a strong foundation in engineering and mathematics that enables you to see and exploit optimization opportunities that others miss.

Application and Hiring Process

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

If you require an accommodation to apply for a position, 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 and Commitment

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

Grace Street Commercial Historic District, Byrd Street Cycle Track, Richmond, Virginia, 23284, United States

Richmond, Virginia

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_circleContribute to the technical vision and long-term roadmap of foundational AI systems at Capital One
  • check_circleImplement model evaluation, experimentation, governance, and observability for production AI systems

Requirements

  • verifiedBachelor's degree in CS, AI, EE, or related fields plus 10 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or related fields plus 8 years AI/ML experience
  • verified10 years experience programming with Python, Go, Scala, or Java
  • verified9 years experience deploying scalable AI solutions on cloud platforms
  • verifiedWork authorization sponsorship available

Nice to Have

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

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

10+ yrs (Lead)

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Job Type

Full-Time

Skills Required

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Skills, education and keywords

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

Education: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.

Frequently asked questions about Senior Distinguished AI Engineer at Capital One

What does a Senior Distinguished AI Engineer at Capital One do?expand_more
A Senior Distinguished AI Engineer 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 Ultraclusters, Huggingface, VectorDBs, and PyTorch.
What are the requirements for this Senior Distinguished AI Engineer role?expand_more
To qualify for the Senior Distinguished AI Engineer at Capital One position, applicants should have: Bachelor's degree in CS, AI, EE, or related fields plus 10 years AI/ML experience; Master's degree in CS, AI, EE, or related fields plus 8 years AI/ML experience; 10 years experience programming with Python, Go, Scala, or Java; 9 years experience deploying scalable AI solutions on cloud platforms; and Work authorization sponsorship available.
Where is the Senior Distinguished AI Engineer role at Capital One located?expand_more
Senior Distinguished AI Engineer at Capital One is based in Grace Street Commercial Historic District, Byrd Street Cycle Track, Richmond, Virginia, 23284, United States. This is a on-site role.
Is this Senior Distinguished AI Engineer job remote, hybrid, or on-site?expand_more
Capital One has listed this Senior Distinguished AI Engineer role as on-site.
How much experience is required for this Senior Distinguished AI Engineer role?expand_more
Senior Distinguished AI Engineer at Capital One typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Senior Distinguished AI Engineer role at Capital One?expand_more
Key skills for Senior Distinguished AI Engineer at Capital One include Machine Learning; Ai; Aws; Huggingface; Vectordbs; Nemo Guardrails; Pytorch; and LLM Inference.
What education is required for Senior Distinguished AI Engineer at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; and Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.
What category does the Senior Distinguished AI Engineer role belong to?expand_more
Senior Distinguished AI Engineer 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.

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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 LearningAiAwsHuggingfaceVectordbsNemo GuardrailsPytorchLLM InferenceSimilarity SearchPython
US privacy notice
Accessibility