AI Engineer 2: Build Scalable Foundation Models

Capital One National Association; San Jose (CA); On-site; USD 148,000 - 169,000; Full time

Job summary

Capital One is seeking an AI Engineer to join the IFX team in San Jose, CA. You will collaborate with engineers, researchers, PMs, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will design and deploy AI software components, optimize model training and inference, and contribute to the long-term AI strategy while ensuring responsible deployment and observability.

Qualifications

• Bachelor’s degree in CS, AI, EE, CE or related field plus 2+ years AI/ML experience.
• Alternatively, Master’s in CS, AI, EE, CE with related experience.
• 2+ years of programming experience in 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 tech like AWS Ultraclusters, Huggingface, VectorDBs, PyTorch.
• Invent and optimize foundation model techniques for scalable, cost-effective AI systems.
• Contribute to the technical vision and long-term AI roadmap at Capital One.
• Collaborate on prompts, evaluation datasets, and automated tests for foundation models.
• Build deployment pipelines, testing environments, and telemetry for model performance.
• Document learnings and contribute to internal AI engineering standards.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE

Master's degree in CS/AI/EE/CE

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer to join the IFX team in San Jose, CA. You will collaborate with engineers, researchers, PMs, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will design and deploy AI software components, optimize model training and inference, and contribute to the long-term AI strategy while ensuring responsible deployment and observability.