Hybrid AI Platform Engineer (Gen AI)

Capital One; San Francisco (CA); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 for Gen AI Platform Services in a hybrid role in San Francisco. You will design and deploy AI components, improve model performance, and collaborate with engineers, researchers, and product managers to deliver production-grade AI systems.

We expect strong software engineering and ML background, experience with large language models, and a track record of building scalable AI infrastructure. Capital One offers competitive compensation and benefits.

Qualifications

• Bachelor's or Master's with AI/ML focus and relevant experience
• 4+ years programming in Python/Go/Scala/CUDA/Java or equivalent
• Experience leading AI systems with cost, latency, throughput tradeoffs

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products
• Design, develop, test, deploy, and support AI components including models and workflows
• Optimize model performance and observability across pipelines
• Define and maintain AI system governance and security standards
• Mentor senior engineers on scalable design and production translation

Skills

Cross-functional collaboration

Python

Go

Scala

CUDA

Java

AI system design

GPU/TPU utilization

Education

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

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

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 for Gen AI Platform Services in a hybrid role in San Francisco. You will design and deploy AI components, improve model performance, and collaborate with engineers, researchers, and product managers to deliver production-grade AI systems.

We expect strong software engineering and ML background, experience with large language models, and a track record of building scalable AI infrastructure. Capital One offers competitive compensation and benefits.