Senior AI Platform Engineering Lead

Capital One Group

San Jose (CA)

On-site

USD 251,000 - 286,000

Full time

14 days+

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Job summary

Capital One is seeking a Senior Manager of AI Engineering (People Leader) to guide Gen AI Platform Services. Lead an interdisciplinary team of engineers, researchers, and PMs to deliver AI-powered products, including foundation-model training, LLM inference, and guardrails.

You will shape the technical vision and mentor talent in a fast-moving environment. The ideal candidate combines deep engineering and mathematical foundation with hands-on leadership, cloud deployment experience, and a track

Qualifications

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with 6+ years of AI/ML experience, or a Master's with 4+ years.
  • At least 1 year of people leadership experience.
  • Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure).
  • Strong communication and ability to mentor/coach engineers.

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 technologies.
  • Drive state-of-the-art LLM optimization for production systems.

Skills

People leadership
AI/ML algorithms
Cloud deployment
Programming languages
Communication skills

Education

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

Tools

PyTorch
HuggingFace
Nemo Guardrails
VectorDBs

Job description

Capital One is seeking a Senior Manager of AI Engineering (People Leader) to guide Gen AI Platform Services. Lead an interdisciplinary team of engineers, researchers, and PMs to deliver AI-powered products, including foundation-model training, LLM inference, and guardrails.

You will shape the technical vision and mentor talent in a fast-moving environment. The ideal candidate combines deep engineering and mathematical foundation with hands-on leadership, cloud deployment experience, and a track

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