Senior AI Engineering Leader: Scalable, Responsible AI

Capital One

San Jose (CA)

On-site

USD 251,000 - 286,000

Full time

4 days ago
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Benefits offered by this job

Health benefits and incentives
Career growth opportunities
Drug-free workplace

Job summary

Capital One is seeking a Sr. Manager, AI Engineer to lead the IFX team in building responsible and scalable AI systems for banking. The role focuses on cross‑functional leadership, foundation model optimization, and governance across production AI platforms.

You will guide architectural decisions, mentor engineers, and align AI initiatives with business outcomes while staying ahead of AI research trends. Location: Cambridge, MA; McLean, VA; New York; San Jose.

Qualifications

  • Bachelor's degree + ≥6 years in AI/ML development
  • Master's degree + ≥4 years in AI/ML development
  • At least 1 year of people leadership experience
  • 3 years of experience managing and leading an engineering team
  • 6 years of experience deploying scalable AI on cloud platforms

Responsibilities

  • Partner with cross-functional engineers, scientists, PMs to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support AI software components.
  • Make build-vs-buy decisions across Open Source and SaaS AI technologies.
  • Invent and apply foundation model optimization techniques for performance and cost.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.
  • Attract and retain top AI talent and mentor team members.
  • Foster learning and stay abreast of AI research and industries best practices.
  • Translate enterprise AI goals into actionable roadmaps with measurable outcomes.

Skills

People leadership
Mentoring
Cross-functional collaboration
Technical depth

Education

Bachelor's degree in Computer Science/AI/Engineering
Master's degree in Computer Science/AI/Engineering

Tools

AWS
Google Cloud
Azure

Job description

Capital One is seeking a Sr. Manager, AI Engineer to lead the IFX team in building responsible and scalable AI systems for banking. The role focuses on cross‑functional leadership, foundation model optimization, and governance across production AI platforms.

You will guide architectural decisions, mentor engineers, and align AI initiatives with business outcomes while staying ahead of AI research trends. Location: Cambridge, MA; McLean, VA; New York; San Jose.

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