Senior AI Platform Lead, Gen AI & Guardrails

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

9 days ago
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Benefits offered by this job

Sponsorship eligible

Job summary

Capital One is seeking a Sr. Manager, AI Engineer to lead cross‑functional teams delivering AI-powered products. You will oversee foundation model training, inference, guardrails, and governance, and drive optimization for large-scale production AI systems.

You will shape the technical vision for foundational AI systems, attract and mentor top talent, and collaborate with Research, Data, and Platform groups to accelerate model lifecycle and responsible AI practices.

Qualifications

  • Requires leadership experience and a strong AI/ML background.
  • Advanced degree or equivalent experience in CS/AI fields.
  • Proven ability to deploy scalable AI solutions across cloud platforms.

Responsibilities

  • Lead cross‑functional teams to deliver AI-powered products.
  • Oversee design, deployment, testing, and governance of AI components.
  • Make build-vs-buy decisions across Open Source and SaaS tech.
  • Develop optimization techniques for large-scale AI systems.
  • Contribute to long-term AI platform roadmap at Capital One.
  • Mentor engineers and foster professional growth.
  • Translate goals into measurable roadmaps with clear outcomes.
  • Ensure Responsible AI with review gates and documentation.

Skills

Leadership experience
AI/ML algorithms
Python
C++
Java
CUDA
Golang

Education

Bachelor's degree in CS/related field with 6+ years exp
Master's degree in CS/AI/related field with 4+ years exp

Tools

AWS
HuggingFace
VectorDBs
PyTorch

Job description

Capital One is seeking a Sr. Manager, AI Engineer to lead cross‑functional teams delivering AI-powered products. You will oversee foundation model training, inference, guardrails, and governance, and drive optimization for large-scale production AI systems.

You will shape the technical vision for foundational AI systems, attract and mentor top talent, and collaborate with Research, Data, and Platform groups to accelerate model lifecycle and responsible AI practices.

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