Staff AI Engineer — Remote, Build Scalable AI Systems

Capital One

Boise (ID)

Remote

USD 245,000 - 279,000

Full time

2 days ago
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Job summary

Capital One is seeking a Staff AI Engineer who will help build responsible, scalable AI systems for real-time banking experiences. You will partner with engineers, scientists, PMs, and product managers to deliver AI-powered products and maintain observability, governance, and model evaluation across a broad tech stack.

You will design and optimize foundation models, multi-model workflows, and vector search while championing responsible AI.

Qualifications

  • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI/ML algorithms or a Master’s with at least 6 years of experience
  • At least 8 years of experience programming with 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 technologies (AWS Ultraclusters, Huggingface, PyTorch)
  • Invent optimization techniques to improve performance, scalability, latency, throughput
  • Contribute to the technical vision and roadmap of foundational AI systems
  • Set technical direction for enterprise-wide AI architecture and standards
  • Own model routing, caching, and orchestration for hybrid/multi-model workloads
  • Champion responsible AI principles across system design
  • Drive internal education, mentorship, and dissemination of best practices

Skills

Python
Go
Scala
CUDA
Java
AI systems design
Mentorship/leadership
cloud platforms
hardware/software optimization

Education

Bachelor's degree in CS/AI/EE/CE or related fields
Master's degree in CS/AI/EE/CE or related fields

Tools

AWS
Huggingface
PyTorch
VectorDBs

Job description

Capital One is seeking a Staff AI Engineer who will help build responsible, scalable AI systems for real-time banking experiences. You will partner with engineers, scientists, PMs, and product managers to deliver AI-powered products and maintain observability, governance, and model evaluation across a broad tech stack.

You will design and optimize foundation models, multi-model workflows, and vector search while championing responsible AI.

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