Sr Director, AI Engineering

Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real‑time, personalized customer experiences. Our investments in technology infrastructure and world‑class talent—and our deep experience in machine learning—position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML bring humanity and simplicity to banking. We are committed to building world‑class applied science and engineering teams to deliver breakthrough product experiences and scalable, high‑performance AI infrastructure. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that are central to our business and deliver value to millions of customers. In this role, you will: 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. Make high‑judgment build‑vs‑buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, Vector DBs, 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 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, fostering a culture of learning and staying abreast of the state of the art in AI. The Ideal Candidate You love to build systems, take pride in the quality of your work, and share our passion to do the right thing; you want to work on problems that will help change banking for good. Passionate about staying abreast of the latest research and able to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and 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 are deeply technical, possessing a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields plus at least 8 years of experience. 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 such as AWS, Google Cloud, Azure, or an equivalent private cloud. Experience developing AI and ML algorithms or technologies—including LLM inference, similarity search, and vector databases, guardrails, memory—using Python, C++, C#, Java, or Golang. Passion for staying abreast of the latest AI research and systems, and judiciously applying novel techniques in production. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Employment Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries. Contact If you require an accommodation, please contact Capital One Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io. For technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io. #J-18808-Ljbffr Hobbsnews