AI Systems Engineer — Scalable, Responsible AI

Capital One National Association; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One seeks an AI Engineer to design and deploy AI-powered products for customer experiences in New York. You will collaborate with engineers, researchers, PMs, and operators to build scalable AI systems.

The role emphasizes foundation model optimization, governance, observability, and performance tuning, with opportunities to influence architectural decisions across AI product lines.

Qualifications

• Bachelor’s or Master’s in a relevant field with 2+ years (Master’s) or 4+ years (Bachelor’s) of AI/ML experience.
• 4+ 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 technologies (AWS Ultraclusters, Huggingface, VectorDBs, PyTorch).
• Invent and optimize foundation model performance focusing on cost, latency, and throughput.
• Own end-to-end architecture for complex AI systems with observability and governance.

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 seeks an AI Engineer to design and deploy AI-powered products for customer experiences in New York. You will collaborate with engineers, researchers, PMs, and operators to build scalable AI systems.

The role emphasizes foundation model optimization, governance, observability, and performance tuning, with opportunities to influence architectural decisions across AI product lines.