Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
At Capital One, we are creating responsible and reliable AI systems to change banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent 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 building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and the businesses that rely on our products.
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 partners across the company to advance the state of the art in science and AI engineering. 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.
As a Lead AI Engineer, 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. You will design, develop, test, deploy, and support AI software components, ranging from foundation model training and large language model inference to similarity search, guardrails, and observability.
You will be expected to invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems. Beyond execution, you will contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.
You are a resilient trailblazer who loves to build systems and takes pride in the quality of your work. You share our passion to do the right thing and want to work on problems that help change banking for good. You possess a deep technical foundation in engineering and mathematics, enabling you to see and exploit optimization opportunities that others miss.
You have a passion for staying abreast of the latest research and the ability to intuitively understand scientific publications, judiciously applying novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions, digging deep to uncover the root of problems, and articulating your findings concisely. You have the courage to share new ideas even when they are unproven.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. We expect to accept applications for a minimum of 5 business days. Please note that no agencies are needed for this role.
If you require an accommodation to apply for a position or to complete the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
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.
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); Experience designing, developing, delivering, and supporting AI services; Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang; Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost; Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.
Skills: Machine Learning, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Inference, Similarity Search, Python, Go.
Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.