Remote Senior AI Engineer: Foundation Models & Infra

Capital One

Topeka (KS)

Remote

USD 286,000 - 327,000

Full time

7 days ago
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Job summary

Capital One is seeking a Sr. Staff AI Engineer to design and deploy production AI systems at scale. You will work with cross-functional teams to advance model training, inference, and governance while leveraging Open Source and SaaS AI technologies.

The role emphasizes responsible AI, performance optimization, and enterprise-wide standards. Remote eligibility enables collaboration across locations with strong leadership opportunities.

Qualifications

  • Bachelor's degree in CS/AI/EE/CE with 10+ years in AI/ML.
  • Master's degree with 8+ years in AI/ML preferred.
  • Proficiency in Python, Go, Scala, CUDA, or Java is required.
  • Experience architecting AI platforms balancing cost, latency, and accuracy.

Responsibilities

  • Collaborate with engineers, researchers, PMs, and designers to deliver AI products.
  • Design, develop, test, deploy, and support AI software components and workflows.
  • Leverage Open Source and SaaS AI tech (e.g., PyTorch, Huggingface, VectorDBs).
  • Improve foundation model performance, scalability, and cost.
  • Shape long-term AI infrastructure roadmaps and architecture vision.
  • Lead AI safety, governance, and transparency standards.
  • Drive multi-year platform initiatives unifying data, compute, and lifecycle mgmt.
  • Mentor senior technical leaders across research, data, and engineering.

Skills

Python
Go
Scala
CUDA
Java
Leadership
Communication

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 Sr. Staff AI Engineer to design and deploy production AI systems at scale. You will work with cross-functional teams to advance model training, inference, and governance while leveraging Open Source and SaaS AI technologies.

The role emphasizes responsible AI, performance optimization, and enterprise-wide standards. Remote eligibility enables collaboration across locations with strong leadership opportunities.

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