AI Engineering Leader: Scale Production Systems

Hobbsnews

San Francisco, Northern (CA, KY)

Hybrid

USD 343,000 - 392,000

Full time

14 days+
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Job summary

Capital One seeks a Sr Director of AI Engineering to lead the design, development, and governance of large-scale AI systems. You will guide cross-functional teams across engineering, research, and product management to build responsible AI capabilities for real-time customer experiences.

You will evaluate build-vs-buy options, optimize LLM performance, and shape the long-term foundation of AI platforms. Strong leadership, deep technical expertise, and cloud experience are essential for success.

Qualifications

  • Bachelor's or Master's in a relevant field with senior AI/ML experience.
  • Minimum 8–10 years in AI/ML development or engineering leadership.
  • At least 5 years of people management experience.
  • Experience deploying scalable and responsible AI on cloud platforms.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support of AI software components.
  • Make build-vs-buy decisions across Open Source and SaaS AI tech.
  • Invent and apply state-of-the-art LLM optimization techniques.
  • Contribute to the technical vision and long-term roadmap of AI systems.
  • Attract and retain top AI talent and foster ongoing development.

Skills

AI/ML Leadership
Large-scale AI systems
Cloud platforms
Programming languages
Mentoring & coaching

Education

Bachelor's degree in CS/AI/EE/CE
Master's degree in CS/AI/EE/CE

Tools

AWS
GCP/Azure
PyTorch
Hugging Face
VectorDBs

Job description

Capital One seeks a Sr Director of AI Engineering to lead the design, development, and governance of large-scale AI systems. You will guide cross-functional teams across engineering, research, and product management to build responsible AI capabilities for real-time customer experiences.

You will evaluate build-vs-buy options, optimize LLM performance, and shape the long-term foundation of AI platforms. Strong leadership, deep technical expertise, and cloud experience are essential for success.

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