OverviewDirector, AI Engineer (Remote Eligible). 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 — along with 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 are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team DescriptionThe 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, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.What You'll DoPartner 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 disciplineScale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworksEstablish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readinessPartner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standardsThe Ideal CandidateYou 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 goodPassion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in productionYou 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 exampleYou 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 unprovenYou are deeply Technical. You possess 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 missYou are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknownBasic QualificationsBachelor'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 technologiesAt least 3 years of people leadership experiencePreferred Qualifications5+ years of experience managing and leading an engineering team7+ 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 GolangExperience in building agentic AI systems and agentic workflowsPassion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionExcellent communication and presentation skills, with the ability to articulate complex AI concepts to peersExperience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrentlyProven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworksExperience 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)Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
7 days ago