Lead AI Engineer (GenAI Platform Services, Python). At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI. 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.
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 with partners across the company to advance the state of the art in AI engineering, building and deploying proprietary solutions central to our business and delivering value to millions of customers. Our AI models and platforms empower teams to enhance products with AI in responsible and scalable ways for high leverage impact.
In this role
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how associates work and how 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 performance, scalability, cost, latency, and throughput of large-scale production AI systems.
Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
You love to build systems, take pride in the quality of your work, and want to do the right thing. You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research and the ability to apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems, asking questions, digging deep, and articulating findings clearly. You have the courage to share new ideas even when unproven.
You are deeply technical with a strong foundation in engineering and mathematics; expertise in hardware, software, and AI enables you to see optimization opportunities 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 4 years of AI/ML development experience, or a Master's degree in one of these fields plus at least 2 years of AI/ML development experience.
At least 4 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
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/ML algorithms or technologies (e.g. LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Passion for staying abreast of latest AI research and AI systems, and judiciously applying novel techniques in production.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries are listed by location for candidates hired to work in those locations. Salaries for parts of the role will be prorated based on hours. Location-specific ranges: Cambridge, MA: 193,400 - 220,700; McLean, VA: 193,400 - 220,700; New York, NY: 211,000 - 240,800; San Francisco, CA: 211,000 - 240,800; San Jose, CA: 211,000 - 240,800. Salaries for other locations will follow the respective location pay range. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on status and level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination. Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history in compliance with applicable laws.
If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical questions about recruiting, email Careers@capitalone.com.