Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

About the role

The Intelligent Foundations and Experiences (IFX) team at Capital One is dedicated to advancing the state of the art in science and AI engineering, and building proprietary solutions that are central to our business. This role involves partnering with a cross-functional team to deliver AI-powered products that enhance customer experiences and associate workflows.

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 of 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, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM 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.

Requirements

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
• You want to work on problems that will help change banking for good.
• You have passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching.
• You are hands-on when necessary and lead by example.
• You adapt quickly and thrive on bringing clarity to big, undefined problems.
• You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
• You have the courage to share new ideas even when they are unproven.
• You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing or leading AI and ML algorithms or technologies.
• At least 5 years of people leadership experience.

Preferred Qualifications

• 7 years of experience managing and leading an engineering team.
• 8 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).
• Master's degree in Computer Science, Computer Engineering, or relevant technical field.
• 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.

Benefits

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.

Pay

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Director, AI Engineering
Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineering
McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineering
New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineering
San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineering
San Jose, CA: $343,400 - $392,000 for Sr. Director, AI Engineering

Schedule

This role is expected to accept applications for a minimum of 5 business days. No agencies please.