Director, AI Platform & Training (Remote)

Capital One Group; San Jose (CA); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Director of AI Engineering to lead the Generative AI Training platform, directing distributed training, fine-tuning, and governance for enterprise AI efforts. You will manage cross-functional teams, shape the technical vision, and ensure scalable, cost-aware AI infrastructure.

You’ll partner with research, compliance, and product leaders to translate enterprise AI strategy into execution plans, drive responsible AI adoption, and attract top AI talent while maintaining

Qualifications

• Bachelor's or Master's in CS/AI/EE with relevant experience in AI/ML tech.
• 3+ years of people leadership experience.
• Experience building and operating large-scale ML/GPU training infra on cloud.
• Strong communication and ability to lead multi-team AI programs.

Responsibilities

• Lead design, development, testing, deployment and operation of core AI platform systems.
• Oversee distributed training, fine-tuning, RL workflows, GPU scheduling, fault tolerance, and self-service model experimentation.
• Drive build-vs-buy decisions across Open Source and SaaS AI technologies.
• Own GPU capacity planning and cost governance across teams.
• Contribute to long-term AI platform strategy and enterprise roadmap.
• Mentor and develop teams, fostering a culture of learning and AI governance.

Skills

Strategic leadership

AI systems

Distributed training

GPU infrastructure

Kubernetes

PyTorch

Huggingface

KServe/vLLM

Education

Bachelor's Degree in CS/AI/EE or related field

Master's Degree in CS/AI/EE or related field

Tools

Kubernetes

Kubeflow

Kueue

Slurm

Ray

PyTorch

HuggingFace

KServe

vLLM

Job description

Capital One is seeking a Director of AI Engineering to lead the Generative AI Training platform, directing distributed training, fine-tuning, and governance for enterprise AI efforts. You will manage cross-functional teams, shape the technical vision, and ensure scalable, cost-aware AI infrastructure.

You’ll partner with research, compliance, and product leaders to translate enterprise AI strategy into execution plans, drive responsible AI adoption, and attract top AI talent while maintaining