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  1. Home
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  3. engineering
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  5. Sr. Distinguished AI Engineer
Capital One logo

Sr. Distinguished AI Engineer

Not Disclosed•Full-TimeOn-site

location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, 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 who have come to love the products and services we build.

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 Sr. 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 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 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. Additionally, you will contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

The ideal candidate loves to build systems, takes pride in the quality of their work, and shares a passion for doing the right thing. You will thrive on bringing clarity to big, undefined problems, digging deep to uncover root causes, and articulating findings concisely. You will have the courage to share new ideas even when they are unproven, acting as a resilient trailblazer who forges new paths to achieve business goals when the route is unknown.

Hiring Process and Application

This role is expected to accept applications for a minimum of 5 business days. No agencies please. If you have visited our website in search of information on employment opportunities or to apply for a position and require an accommodation, 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.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

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 regarding criminal background inquiries.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Work location

Work model: On-site

location_on

Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States

McLean, 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, CE or related plus 10 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, CE or related plus 8 years AI/ML experience
  • verified10+ years experience programming with Python, Go, Scala, or Java

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 applying novel techniques in production; Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers; Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in applications such as robotics, digital assistants, industrial automation, autonomous driving, or related.

Benefits & Perks

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

Capital One

Industry

engineering

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

10+ yrs (Lead)

Education

Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Ai, Python, Go, Scala, Java, Aws, Google Cloud, Azure, Huggingface.

Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 8+ years experience.

Frequently asked questions about Sr. Distinguished AI Engineer at Capital One

What does a Sr. Distinguished AI Engineer at Capital One do?expand_more
A Sr. 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 Sr. Distinguished AI Engineer role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree in CS, AI, EE, CE or related plus 10 years AI/ML experience; Master's degree in CS, AI, EE, CE or related plus 8 years AI/ML experience; and 10+ years experience programming with Python, Go, Scala, or Java.
Where is the Sr. Distinguished AI Engineer role at Capital One located?expand_more
Sr. Distinguished AI Engineer at Capital One is based in Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States. This is a on-site role.
Is this Sr. Distinguished AI Engineer job remote, hybrid, or on-site?expand_more
Capital One has listed this Sr. Distinguished AI Engineer role as on-site.
How much experience is required for this Sr. Distinguished AI Engineer role?expand_more
Sr. Distinguished AI Engineer at Capital One typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Sr. Distinguished AI Engineer role at Capital One?expand_more
Key skills for Sr. Distinguished AI Engineer at Capital One include Machine Learning; Ai; Python; Go; Scala; Java; Aws; and Google Cloud.
What education is required for Sr. Distinguished AI Engineer at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience; and Master's degree in CS, AI, EE, CE, or related fields with 8+ years experience.
What category does the Sr. Distinguished AI Engineer role belong to?expand_more
Sr. Distinguished AI Engineer at Capital One is part of the engineering job category on Recrutus.
Recrutus

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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.

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Machine LearningAiPythonGoScalaJavaAwsGoogle CloudAzureHuggingface
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Accessibility