Senior AI Foundations Engineer

Capital One; San Jose (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 in San Jose, CA to design, build, and optimize AI systems that power real-time banking experiences. You will develop foundation models, perform training and inference, and collaborate with cross‑functional teams to deliver scalable AI products with governance and security in mind.

The role emphasizes cutting‑edge AI research, production‑level code, and partnership with infrastructure teams to optimize GPU/TPU usage and model deployment at scale.

Qualifications

• Bachelor's degree plus at least 4 years AI/ML experience or Master's with 2+ years.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including foundation model training and inference.
• Leverage a broad stack of Open Source and SaaS AI technologies (AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch).
• Invent and introduce foundation model optimization techniques to improve performance, latency, and cost.
• Own end-to-end architecture for complex AI systems with maintainability and ethical alignment.
• Define and maintain SLOs for AI reliability (latency, uptime, model drift).

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS Ultraclusters

HuggingFace

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 in San Jose, CA to design, build, and optimize AI systems that power real-time banking experiences. You will develop foundation models, perform training and inference, and collaborate with cross‑functional teams to deliver scalable AI products with governance and security in mind.

The role emphasizes cutting‑edge AI research, production‑level code, and partnership with infrastructure teams to optimize GPU/TPU usage and model deployment at scale.