Staff AI Engineer (Remote) - Build Responsible AI at Scale

Capital One

Oklahoma City (OK)

Remote

USD 245,000 - 279,000

Full time

3 days ago
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Job summary

Capital One is seeking a Staff AI Engineer to help build scalable AI systems and responsible AI practices. Remote-eligible role with collaboration across engineering, research, and product teams to deliver AI-powered products for customers and associates.

You will work on foundation model training, large language model inference, and modern AI tooling, while advancing enterprise-wide architecture and governance for AI systems.

Qualifications

  • Bachelor's or Master's in CS/AI/EE/CE with 6+ years AI/ML experience.
  • 8+ years of programming experience in Python, Go, Scala, CUDA, or Java.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage Open Source and SaaS AI tech like AWS Ultraclusters, Huggingface, VectorDBs, PyTorch.
  • Invent optimization techniques to improve performance, cost, latency, and throughput.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.
  • Set enterprise-wide AI architecture direction and standards.
  • Own design and integration of model routing, caching, and orchestration systems.
  • Champion responsible AI principles across system design.
  • Drive internal education and dissemination of best practices.

Skills

Python
Go
Scala
CUDA
Java

Education

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

Tools

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch

Job description

Capital One is seeking a Staff AI Engineer to help build scalable AI systems and responsible AI practices. Remote-eligible role with collaboration across engineering, research, and product teams to deliver AI-powered products for customers and associates.

You will work on foundation model training, large language model inference, and modern AI tooling, while advancing enterprise-wide architecture and governance for AI systems.

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Performance-based incentives