Senior AI Engineer, Gen AI & Guardrails

Capital One

San Francisco (CA)

On-site

USD 251,000 - 286,000

Full time

8 days ago

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Job summary

Capital One is seeking an AI Engineer 5 to help build responsible, scalable AI systems that power real-time banking experiences. The role involves development of foundation models, multi-agent workflows, and integration of Open Source and SaaS AI tech.

You will contribute to model eval, governance, and observability, partnering with engineers, scientists, and PMs. Ideal candidates bring strong hands-on AI/ML implementation skills, cloud experience, and a drive to advance production-grade AI

Qualifications

  • Bachelor's or Master's with years of AI/ML experience as stated in the job ad.
  • Minimum 6 years programming experience with Python/Go/Scala/CUDA/Java.

Responsibilities

  • Partner with a cross-functional team to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, PyTorch.
  • Optimize foundation model performance, cost, latency, and throughput.
  • Contribute to the technical vision and long-term AI system roadmap.
  • Lead orchestration pipelines integrating LLMs and vector search.
  • Lead governance reviews on GPU utilization and model throughput.
  • Mentor engineers to raise technical maturity.

Skills

Python
Go
Scala
CUDA
Java

Education

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

Tools

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch

Job description

Capital One is seeking an AI Engineer 5 to help build responsible, scalable AI systems that power real-time banking experiences. The role involves development of foundation models, multi-agent workflows, and integration of Open Source and SaaS AI tech.

You will contribute to model eval, governance, and observability, partnering with engineers, scientists, and PMs. Ideal candidates bring strong hands-on AI/ML implementation skills, cloud experience, and a drive to advance production-grade AI

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