Note: The job is a remote job and is open to candidates in USA. Capital One is a financial services company developing responsible and reliable AI systems to transform banking and customer experiences. The Director, AI Engineer will lead the design, development, deployment, and scaling of foundational AI systems, while driving enterprise AI strategy, responsible AI standards, technical roadmaps, and team development.
Responsibilities
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
- Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
- Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
- Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI
- Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline
- Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks
- Establish enterprise standard 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 emerging ethical and regulatory standards
Skills
- * 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 a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
- * 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 (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- * Experience in building agentic AI systems and agentic workflows
- * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
- * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
- * Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently
- * Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks
- * Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews)
- * Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
Benefits
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Remote work eligibility
Company Overview
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