Remote AI Platform Director: Scale ML Systems

Capital One; Helena (MT); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Director of AI Engineering to lead a team responsible for distributed training, reinforcement learning workflows, and GPU scheduling across foundation models. You will drive scalability, cost efficiency, and enterprise governance while mentoring top AI talent.

The role is remote-eligible, with responsibility for global platforms and collaboration across product, research, and compliance teams. Strong leadership and deep AI systems expertise are essential.

Qualifications

• Bachelor's or Master's degree in CS/AI/EE/CE or related field with required AI/ML experience
• At least 3 years of people leadership experience

Responsibilities

• Partner with cross-functional team to deliver AI-powered products
• Oversee design, development, testing, deployment, and operation of core platform systems
• Make build-vs-buy decisions across Open Source and SaaS AI technologies
• Invent and introduce state-of-the-art techniques for scalable training
• Own GPU capacity planning and cost governance for training workloads
• Contribute to long-term AI systems roadmap and vision

Skills

People leadership

Distributed training

GPU training

Python

Go

C++

PyTorch

Kubernetes

DeepSpeed

ML systems

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

GCP

Job description

Capital One is seeking a Director of AI Engineering to lead a team responsible for distributed training, reinforcement learning workflows, and GPU scheduling across foundation models. You will drive scalability, cost efficiency, and enterprise governance while mentoring top AI talent.

The role is remote-eligible, with responsibility for global platforms and collaboration across product, research, and compliance teams. Strong leadership and deep AI systems expertise are essential.