Director, AI Engineering

🕒 October 6

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $244.7k - $279.2k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products • Oversee design, development, testing, deployment, and operation of distributed training, fine-tuning, reinforcement learning, GPU scheduling, fault tolerance, utilization, and model experimentation systems • Make build-versus-buy decisions across open-source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch • Introduce techniques improving scalability, cost, throughput, and reliability of large-scale distributed training and fine-tuning • Own GPU capacity planning and cost governance across teams • Contribute to the technical vision and long-term roadmap of foundational AI systems • Attract, retain, mentor, and develop AI engineering talent • Translate enterprise AI strategy into portfolio-level execution plans across product areas • Scale AI engineering practices through shared infrastructure, reusable components, observability, and governance frameworks • Establish enterprise Responsible AI standards covering fairness metrics, model evaluation, documentation, and audit readiness • Partner with research, compliance, and enterprise risk teams on ethical and regulatory standards

🎯 Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies; or Master's degree in these fields plus at least 6 years of such experience • At least 3 years of people leadership experience • 5+ years of experience managing and leading an engineering team (preferred) • 7+ years of experience building and operating large-scale ML or GPU training infrastructure on cloud platforms (preferred) • Hands-on experience with distributed training at scale, including multi-node, multi-GPU jobs and parallelism strategies such as PyTorch FSDP, DeepSpeed, and Megatron • Proficiency in Python, Go, C++, or CUDA • Experience with ML orchestration and scheduling tools such as Kubernetes, Kubeflow, Kueue, Slurm, Ray, KServe, and vLLM • Experience operating large GPU fleets with focus on reliability, fault tolerance, utilization, and cost efficiency • Experience right-sizing GPU clusters, instance types, interconnect, and quotas • Passion for current AI and ML-systems research and applying novel training and optimization techniques • Excellent communication and presentation skills • Experience building and leading a multi-team AI organization • Ability to execute long-term AI platform strategies aligned with enterprise priorities and regulatory frameworks • Experience establishing cross-functional operating rhythms and review cadences • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants with disabilities

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