Director, AI Engineering — Scale Responsible AI

Capital One

San Francisco (CA)

On-site

USD 294,000 - 335,000

Full time

16 hours ago
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Job summary

Capital One is seeking a Director, AI Engineer to lead AI foundations and experiences, and guide cross-functional teams in delivering scalable AI products. You will oversee foundation model training, large language model inference, and governance to ensure responsible, high-performance systems.

The ideal candidate has extensive AI/ML leadership experience, deep engineering and mathematical foundations, and a proven ability to scale AI solutions across teams.

Qualifications

  • Bachelor's or Master’s degree with required AI/ML experience as stated, plus years of leadership experience.
  • Experience leading engineering teams and delivering AI/ML solutions at scale.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support of AI software components (foundation training, inference, governance).
  • Make high judgement build-vs-buy decisions across Open Source and SaaS AI technologies.
  • Invent foundation model optimization techniques to improve performance, cost, latency, throughput.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.

Skills

AI/ML system design
Leadership/people management
Cross-functional collaboration
Mentoring/coaching
Strong communication
Problem solving

Education

Bachelor's degree in CS/AI/EE/CE or related field with 8+ years OR Master's with 6+ years

Tools

AWS
Google Cloud
Azure
Private cloud

Job description

Capital One is seeking a Director, AI Engineer to lead AI foundations and experiences, and guide cross-functional teams in delivering scalable AI products. You will oversee foundation model training, large language model inference, and governance to ensure responsible, high-performance systems.

The ideal candidate has extensive AI/ML leadership experience, deep engineering and mathematical foundations, and a proven ability to scale AI solutions across teams.

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