Lead AI Engineer

Capital One is seeking a Lead AI Engineer to build responsible and reliable AI systems for banking. This onsite role in McLean, VA focuses on designing, developing, deploying, and optimizing foundational AI and LLM components, while collaborating with cross-functional partners to deliver AI-powered products.

Key Responsibilities

• Collaborate with cross-functional partners including engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that affect how associates work and how customers interact with Capital One.
• 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.
• Apply a broad stack of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, among others.
• Develop and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• Support the technical vision and long-term roadmap for foundational AI systems across Capital One.

Required Qualifications

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 4 years of experience developing AI and ML algorithms or technologies; or a Master’s degree in a related field plus at least 2 years of experience developing AI and ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, or Java.

Technologies

• AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
• Open Source, SaaS
• Python, Go, Scala, Java, C++, C#, Golang
• AWS, Google Cloud, Azure

Team Overview

The Intelligent Foundations and Experiences (IFX) team is responsible for bringing Capital One’s AI vision to life. The team works closely with partners across the company to advance state-of-the-art science and AI engineering, and to build and deploy proprietary solutions central to the business and delivering value to millions of customers. AI models and platforms enable teams across Capital One to enhance products with responsible, scalable AI in ways that deliver high-leverage impact.

Benefits

• Eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
• Comprehensive, competitive, and inclusive health, financial, and other benefits.

Preferred Qualifications

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Experience designing, developing, delivering, and supporting AI services.
• Experience developing AI and ML algorithms or technologies (for example: 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.

Compensation and Location

• McLean, VA: $197,300 - $225,100 per year
• New York, NY: $215,200 - $245,600 per year
• Cambridge, MA: $197,300 - $225,100 per year
• San Francisco, CA: $215,200 - $245,600 per year
• San Jose, CA: $215,200 - $245,600 per year

Additional Posting Notes

• 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.
• 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 consistent with applicable laws regarding criminal background inquiries.
• If you require an accommodation, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected].
• For technical support or questions about Capital One’s recruiting process, email [email protected].
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site.
• Capital One Financial is made up of multiple entities; positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).