Distinguished AI Engineer

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 — 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 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, 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. Responsibilities Architect and launch conversational experiences powered by state‑of‑the‑art generative AI for millions of Capital One customers. 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. Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Leverage 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, and throughput of large‑scale production AI systems. Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One. 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. You have a passion for staying abreast of the latest research and the ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to large, undefined problems. You love asking questions, digging deep to uncover root causes, and articulating findings concisely. You have the courage to share new ideas even when they are unproven. You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI allows you to spot and exploit optimization opportunities. You are a resilient trail‑blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor’s degree in Computer Science, Engineering, or AI plus at least eight years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least six years of experience developing AI and ML algorithms or technologies. At least eight years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications Eight years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud). Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. Experience developing AI and ML algorithms or technologies such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, or Golang. Master’s degree in Computer Science, Computer Engineering, or a relevant technical field. 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 on top of the latest AI research and AI systems and judiciously applying novel techniques in production. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation Cambridge, MA: $269,100 – $307,200 for Distinguished AI Engineer McLean, VA: $269,100 – $307,200 for Distinguished AI Engineer New York, NY: $293,600 – $335,100 for Distinguished AI Engineer Other locations: pay range as specified for the location. Equal Opportunity Employment Capital One is an equal‑opportunity employer (EOE), including disability/veteran status, and is committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. #J-18808-Ljbffr Capital One