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Lead AI Engineer (AI Foundations, LLM Core)

Capital One National Association
Full-time
On-site
San Jose, California, United States
$193,400 - $193,400 USD yearly
Overview

Lead AI Engineer (AI Foundations, LLM Core) 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 apply AI & ML to deliver real-time, personalized customer 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 central to bringing our AI vision to life. We partner with various teams across the company to advance science and AI engineering, building and deploying proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams to leverage AI responsibly and at scale for maximum impact. 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. 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 (cost, latency, throughput, scalability) of large-scale production AI systems. Contribute to the technical vision and the 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 help change banking for good. You stay abreast of the latest research and can judiciously apply novel techniques in production. You adapt quickly, bring clarity to big problems, ask questions, and articulate findings concisely; you share new ideas even when unproven. You are deeply technical with a strong foundation in engineering and mathematics, and you can identify optimization opportunities across hardware, software, and AI. 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 experience developing AI/ML algorithms or technologies, or a Master's degree in related fields plus at least 2 years of 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 the latest AI research and AI systems, 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 for this role are listed below, by location. Salaries are for candidates hired to perform work within one of these locations; part-time salaries are prorated. Locations: Cambridge, MA; McLean, VA; New York, NY; San Francisco, CA; San Jose, CA. (Actual offer is location-based.) Cambridge, MA: Lead AI Engineer $193,400 - $220,700 McLean, VA: Lead AI Engineer $193,400 - $220,700 New York, NY: Lead AI Engineer $211,000 - $240,800 San Francisco, CA: Lead AI Engineer $211,000 - $240,800 San Jose, CA: Lead AI Engineer $211,000 - $240,800 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered will be reflected in the offer letter. 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 by status and level. Accommodation requests: If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information will be kept confidential for the purpose of providing accommodations. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse or guarantee third-party products or information accessed through this site. Capital One Financial is made up of several different entities; postings in Canada, the United Kingdom, and the Philippines refer to the respective Capital One entities.

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