Sr. Manager, AI Engineer

Capital One’s Intelligent Foundations and Experiences (IFX) team is building the next generation of AI platform capabilities that help power responsible, scalable GenAI across the enterprise. In this onsite role in McLean, VA, you will lead AI software efforts that connect foundation model engineering, LLM inference, and governance with real-world product outcomes for associates and customers.

What you’ll do

• Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how associates work and how customers interact with Capital One.
• Oversee the end-to-end lifecycle of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Make high-judgment build-versus-buy decisions across a stack of Open Source and SaaS technologies, including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Introduce state-of-the-art foundation model optimization approaches to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• Help shape technical vision and the long-term roadmap for foundational AI systems at Capital One.
• Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and recurring readouts.
• Operationalize Responsible AI by establishing review gates, documentation and evaluation requirements, and rollout and rollback standards for production AI systems.
• Build collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle.

Basic qualifications

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in the same fields plus at least 4 years of experience developing AI and ML algorithms or technologies.
• At least 1 year of people leadership experience.

Technologies you may work with

• AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
• Python, C++, C#, Java, CUDA, Golang
• AWS, Google Cloud, Azure

Team context

The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life by advancing the state of the art in science and AI engineering. The team partners across the company to build and deploy proprietary solutions central to the business, enabling teams across Capital One to enhance products with transformative AI in responsible and scalable ways.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Performance based incentive compensation (performance-based incentive compensation eligible), which may include cash bonus(es) and/or long term incentives (LTI).

Additional information

• 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), committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• If you require an accommodation, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected].
• Technical support or questions about Capital One’s recruiting process: [email protected].
• Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Salary: USD 229,900 - 262,400 per year. Location: McLean, VA (onsite). Minimum experience: 4 years.