AI Engineering Leader - Scalable ML & LLMs

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

14 days+
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Job summary

Capital One is seeking a Senior Manager, AI Engineering to lead foundational AI systems. The role partners with engineers, scientists, PMs, and managers to deliver AI-powered products and scalable AI infrastructure.

You will oversee model training, inference, guardrails, evaluation, and governance while shaping the long-term strategy and mentoring engineers. The ideal candidate has leadership experience and deep expertise in AI, ML, and scalable cloud deployments, enabling high-impact delivery

Qualifications

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus required experience.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products and improve how associates and customers interact with Capital One.
  • Oversee design, development, testing, deployment, and support of AI software components including LLM inference, guardrails, evaluation, governance, and observability.
  • Make high-judgment build-vs-buy decisions across Open Source and SaaS AI technologies.
  • Invent and apply state-of-the-art optimization techniques to improve performance, cost, latency, and throughput of production AI systems.
  • Contribute to the long-term technical vision and roadmap of foundational AI systems at Capital One.
  • Mentor and develop team members to grow capabilities and stay at the forefront of AI advances.

Skills

People leadership
AI/ML architectures

Education

Bachelor's degree in CS or related

Tools

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch

Job description

Capital One is seeking a Senior Manager, AI Engineering to lead foundational AI systems. The role partners with engineers, scientists, PMs, and managers to deliver AI-powered products and scalable AI infrastructure.

You will oversee model training, inference, guardrails, evaluation, and governance while shaping the long-term strategy and mentoring engineers. The ideal candidate has leadership experience and deep expertise in AI, ML, and scalable cloud deployments, enabling high-impact delivery

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