Staff AI Engineer: Architect Scalable Responsible AI

Capital One

San Francisco (CA)

On-site

USD 294,000 - 335,000

Full time

23 hours ago
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Job summary

Capital One is building responsible AI systems to reimagine banking. You will join the Intelligent Foundations and Experiences team to advance AI engineering, training, and deployment at scale, shaping enterprise AI standards and governance.

Strong leadership and deep technical expertise in AI/ML are essential. The role emphasizes collaboration with engineers, researchers, PMs, and the wider Capital One AI guilds, focusing on responsible AI practices and performance optimization across

Qualifications

  • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8+ years of AI/ML experience, or a Master's with 6+ years.
  • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java.
  • Experience designing AI systems with cost, latency, throughput and accuracy tradeoffs.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and workflows.
  • Leverage Open Source and SaaS AI technologies (AWS, Huggingface, PyTorch, VectorDBs).
  • Invent and optimize foundation model techniques to improve performance, cost, latency, and throughput.
  • Contribute to technical vision and long-term roadmap of foundational AI systems at Capital One.

Skills

Python
Go
Scala
CUDA
Java
AI Systems

Education

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

Tools

AWS
Google Cloud
Azure
Huggingface
PyTorch
VectorDBs

Job description

Capital One is building responsible AI systems to reimagine banking. You will join the Intelligent Foundations and Experiences team to advance AI engineering, training, and deployment at scale, shaping enterprise AI standards and governance.

Strong leadership and deep technical expertise in AI/ML are essential. The role emphasizes collaboration with engineers, researchers, PMs, and the wider Capital One AI guilds, focusing on responsible AI practices and performance optimization across

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