Head of Autonomous AI Platforms & Strategy

SupportFinity™

San Francisco (CA)

On-site

USD 294,000 - 335,000

Full time

14 days+
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Job summary

Capital One is seeking a Director of AI Engineering to lead autonomous AI systems and platforms. You will shape strategy, oversee development, and drive collaboration across product, sales, and engineering to deliver AI-powered products at scale.

The role requires strong AI/ML expertise, people leadership, and a track record of building reliable, compliant AI systems in production environments.

Qualifications

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8+ years of AI/ML experience or a Master's with 6+ years.
  • At least 3 years of people leadership experience

Responsibilities

  • Define strategic vision and oversee the growth of autonomous AI systems and platforms.
  • Provide technical leadership for design, development, testing and deployment of agentic workflows.
  • Develop and execute the strategic vision and roadmap for the agentic AI platform.
  • Oversee the end-to-end lifecycle of the platform, from development to sunsetting legacy offerings.
  • Guide technical teams and ensure platform scalability and reliability.
  • Collaborate with senior leaders, product management, sales and other engineering teams.
  • Act as a champion for the platform and influence enterprise decision-making.
  • Foster a culture of innovation and ethical AI practices.

Skills

AI/ML leadership
Team leadership
Python
C++
Java
Communication skills

Education

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

Tools

AWS
Google Cloud
Azure
MLOps
VectorDBs

Job description

Capital One is seeking a Director of AI Engineering to lead autonomous AI systems and platforms. You will shape strategy, oversee development, and drive collaboration across product, sales, and engineering to deliver AI-powered products at scale.

The role requires strong AI/ML expertise, people leadership, and a track record of building reliable, compliant AI systems in production environments.

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