Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
About The Position
Capital One is hiring a Senior Director, AI Engineering for its Intelligent Foundations and Experiences (IFX) team. The team advances AI science and engineering and builds proprietary, responsible, scalable solutions used across Capital One to create value for millions of customers. The role will lead the development and operation of foundational AI systems and platforms, including capabilities for foundation-model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The position partners with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. It contributes to technical vision and long-term roadmaps, makes build-versus-buy decisions across open-source and SaaS AI technologies, and develops optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems. The leader will also define enterprise AI strategy, establish a multi-year roadmap for reliable and compliant shared infrastructure, champion responsible AI, and scale AI operations across production use cases. The role attracts and develops AI talent, supports professional growth through mentoring and coaching, and leads with technical depth. Capital One is open to a remote or hybrid employee for this opportunity. The role may also be eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 10 years of experience developing AI and ML algorithms or technologies; or a master's degree in one of these fields plus at least 8 years of such experience.
- At least 5 years of people leadership experience.
Nice To Haves
- At least 7 years of experience managing and leading an engineering team.
- At least 8 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or an equivalent private cloud.
- Experience developing AI and ML algorithms or technologies, such as LLM inference, similarity search and VectorDBs, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Golang.
- Experience building agentic AI systems and agentic workflows.
- Passion for following AI research and systems and applying novel techniques in production.
- Excellent communication and presentation skills, including the ability to explain complex AI concepts to peers.
- Demonstrated experience leading leaders and multiple AI engineering organizations across product, platform, and applied research domains.
- Proven success building enterprise-scale AI platforms and capabilities serving diverse business lines and customer use cases.
- Ability to influence executive leadership on AI investment strategy, organizational design, and risk management priorities.
- Experience establishing external partnerships or thought leadership in AI industry, academia, or open-source communities.
- Experience right-sizing models, instance counts, and hardware types to requirements such as context length and token inputs and outputs.
Responsibilities
- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Oversee the 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 in production AI systems.
- Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
- Attract and retain AI talent and foster learning and professional development within the team.
- Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles.
- Establish a multi-year roadmap for scalable, reliable, and compliant AI systems serving as shared enterprise infrastructure.
- Champion responsible AI and embed ethical, transparent, and explainable model practices across lines of business.
- Oversee AI operations at scale, including model lifecycle management, observability, and cost efficiency across production use cases.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
