Senior Staff AI Engineer - Remote, Scale AI

Capital One

Denver (CO)

Remote

USD 286,000 - 327,000

Full time

9 days ago
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Job summary

Capital One is seeking a Senior Staff AI Engineer to design and deploy world-class AI software at scale. You will partner with engineers, scientists, PMs, and product leaders to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will architect and optimize large-scale AI systems, including foundation models, inference, agents, and observability, while mentoring senior engineers and aligning with enterprise governance standards.

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Electrical Engineering or related fields with extensive AI/ML experience.
  • 10+ years of experience developing AI/ML algorithms or technologies or 8+ years with a Master's degree.

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 technologies.
  • Invent optimization techniques for large-scale production AI systems.
  • Contribute to technical vision and long-term AI infrastructure roadmaps.
  • Define and steer AI architecture with reliability and scale.
  • Lead AI performance, safety, and governance standards.
  • Drive multi-year platform initiatives unifying data, compute, and model lifecycle.

Skills

Python
Go
Scala
CUDA
Java
LLM Inference
VectorDBs
Huggingface
PyTorch
Mentoring

Education

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

Tools

AWS Ultraclusters
VectorDBs
PyTorch

Job description

Capital One is seeking a Senior Staff AI Engineer to design and deploy world-class AI software at scale. You will partner with engineers, scientists, PMs, and product leaders to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will architect and optimize large-scale AI systems, including foundation models, inference, agents, and observability, while mentoring senior engineers and aligning with enterprise governance standards.

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