Director, AI Engineering

🔥 12 hours ago

🏄 California, New York, +1 more states – Remote

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

💵 $244.7k - $335.1k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 support of AI software components • Manage foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Make build-vs-buy decisions across open-source and SaaS AI technologies • Develop foundation model optimization techniques to improve scalability, cost, latency, and throughput • Contribute to the technical vision and long-term roadmap of foundational AI systems • Attract and retain AI talent and nurture team development • Translate enterprise AI strategy into portfolio-level execution plans • Scale AI engineering practices through shared infrastructure, reusable components, and unified observability and governance frameworks • Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, 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 the same fields plus at least 6 years of experience • At least 3 years of people leadership experience • 5+ years of experience managing and leading an engineering team • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang • Experience building agentic AI systems and agentic workflows • Experience building and leading multi-team AI organizations delivering multiple enterprise products or capabilities concurrently • Experience executing long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks • Experience establishing cross-functional operating rhythms and review cadences, including OKRs, AI governance councils, and quarterly reviews • Experience right-sizing models, instance counts, and hardware types according to requirements • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

🏖️ Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being • Reasonable accommodations for applicants who require them • Equal opportunity and non-discrimination commitment • Drug-free workplace