Director, AI Engineering — Remote Eligible

Capital One Group; Atlanta (GA); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Director of AI Engineering (Remote eligible) to lead AI software across foundation model training, inference, and governance. You will partner with cross-functional teams to deliver scalable AI-powered products and shape the enterprise AI roadmap.

Ideal candidates bring 8+ years in AI/ML, 3+ years of people leadership, and a track record of building responsible AI systems with cost, latency, and performance in mind.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of AI/ML experience, or Master's plus at least 6 years.
• At least 3 years of people leadership experience.

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, PMs, and product managers to deliver AI-powered products.
• Oversee design, development, testing, deployment, and support of AI software components including model training, inference, and governance.
• Make build‑vs‑buy decisions across Open Source and SaaS AI tech such as AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch.
• Invent state-of-the-art model optimization techniques to improve performance, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.
• Attract and retain top AI talent and foster professional development.

Skills

People leadership

AI/ML proficiency

Cross-functional collaboration

Python

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

AWS

Google Cloud

Azure

PyTorch

HuggingFace

Job description

Capital One is seeking a Director of AI Engineering (Remote eligible) to lead AI software across foundation model training, inference, and governance. You will partner with cross-functional teams to deliver scalable AI-powered products and shape the enterprise AI roadmap.

Ideal candidates bring 8+ years in AI/ML, 3+ years of people leadership, and a track record of building responsible AI systems with cost, latency, and performance in mind.