Director, AI Engineering – Remote Platform Leader

Capital One; Phoenix (AZ); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Director of AI Engineering, remote eligible, to lead an enterprise AI platform that trains, fine-tunes, and deploys foundation models at scale. You will partner with engineers, researchers, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will own core systems, scale training workloads, guide governance, and recruit top AI talent while advancing responsible AI practices and a pragmatic

Qualifications

• Bachelor's or Master's in CS/AI fields with 6–8 years in AI/ML engineering.
• At least 3 years of people leadership experience.

Responsibilities

• Lead AI platform for distributed training and RL workflows.
• Oversee GPU scheduling, fault tolerance, and observability.
• Make build-vs-buy decisions across AI tech stacks.
• Contribute to long-term foundational AI system roadmaps.
• Attract, mentor, and develop AI talent across teams.
• Advise on Responsible AI governance and compliance.

Skills

Distributed training

GPU scheduling

Leadership

MLOps

Kubernetes

PyTorch

Cost governance

Model fine-tuning

Experimentation

Tools

AWS

HuggingFace

KServe

vLLM

Kubeflow

DeepSpeed

Megatron

Job description

Capital One is seeking a Director of AI Engineering, remote eligible, to lead an enterprise AI platform that trains, fine-tunes, and deploys foundation models at scale. You will partner with engineers, researchers, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will own core systems, scale training workloads, guide governance, and recruit top AI talent while advancing responsible AI practices and a pragmatic