Senior Gen AI Platform Engineer (Hybrid)

Capital One; McLean (VA); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 to join the Gen AI Platform Services team. You will design, build, and deploy AI software, including foundation models, inference, and multi-agent workflows, leveraging a broad Open Source and SaaS stack.

You will optimize training and inference for large-scale AI systems, contribute to the AI platform roadmap, and collaborate with infra to maximize GPU/TPU utilization while ensuring security and governance.

Qualifications

• Bachelor's or Master's with relevant AI/ML tech experience.
• 4+ years AI/ML algorithm development or related.
• 4+ years programming in Python/Go/Scala/CUDA/Java.

Responsibilities

• Partner with cross-functional team to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components.
• Leverage Open Source and SaaS AI tech (AWS Ultraclusters, Huggingface, PyTorch).
• Innovate foundation model optimization to improve performance, latency, and cost.
• Contribute to technical vision and long-term roadmap for AI systems.
• Own end-to-end architecture ensuring observability and ethical alignment.

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 4 to join the Gen AI Platform Services team. You will design, build, and deploy AI software, including foundation models, inference, and multi-agent workflows, leveraging a broad Open Source and SaaS stack.

You will optimize training and inference for large-scale AI systems, contribute to the AI platform roadmap, and collaborate with infra to maximize GPU/TPU utilization while ensuring security and governance.