Director, AI Engineer – Remote Eligible

🔥 52 minutes ago

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

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – 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 1%

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, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Make build-versus-buy decisions across open-source and SaaS AI technologies • Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput of production AI systems • Contribute to the technical vision and long-term roadmap of foundational AI systems • Attract and retain AI talent and nurture team members' personal and professional development • Translate enterprise AI strategy into portfolio-level execution plans across multiple product areas • 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 requirements, and audit readiness • Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet 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 one of 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 • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang • Experience building agentic AI systems and 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 based on requirements • Ability to understand scientific publications and apply novel techniques in production • Strong engineering, mathematics, hardware, software, and AI foundation • Excellent communication and presentation skills • 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 • Reasonable accommodations for applicants with disabilities • Employment authorization sponsorship may be considered for a new qualified applicant