Capital One National Association
Lead AI Engineer (GenAI Platform Services, Python)
Capital One National Association, San Jose, California, United States, 95199
Overview
Capital One is creating responsible and reliable AI systems to reimagine banking. We have a history of leveraging machine learning to deliver real-time, personalized customer experiences and are building world-class applied science, engineering, and scalable AI infrastructure. Team Description
The Intelligent Foundations and Experiences (IFX) team brings AI at Capital One to life. We work with partners across the company to advance science and AI engineering, building and deploying proprietary solutions central to our business that deliver value to millions of customers. Our AI models and platforms empower teams to enhance products with responsible, scalable AI for high-leverage 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, 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 help change banking for good. You stay current with the latest AI research and can apply novel techniques in production. You adapt quickly, bring clarity to undefined problems, ask questions, and articulate findings concisely; you share new ideas even if unproven. You are deeply technical with a strong engineering and mathematical foundation and can exploit 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 and ML algorithms or technologies, or a Master's degree in the same 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 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. 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 for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked: 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. The actual annualized salary offered will be shown in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Capital One offers a comprehensive, 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 be open for 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 in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with criminal histories consistent with applicable laws and regulations. If you require accommodations during the recruitment 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 provide needed accommodations. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services advertised on this site.
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Capital One is creating responsible and reliable AI systems to reimagine banking. We have a history of leveraging machine learning to deliver real-time, personalized customer experiences and are building world-class applied science, engineering, and scalable AI infrastructure. Team Description
The Intelligent Foundations and Experiences (IFX) team brings AI at Capital One to life. We work with partners across the company to advance science and AI engineering, building and deploying proprietary solutions central to our business that deliver value to millions of customers. Our AI models and platforms empower teams to enhance products with responsible, scalable AI for high-leverage 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, 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 help change banking for good. You stay current with the latest AI research and can apply novel techniques in production. You adapt quickly, bring clarity to undefined problems, ask questions, and articulate findings concisely; you share new ideas even if unproven. You are deeply technical with a strong engineering and mathematical foundation and can exploit 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 and ML algorithms or technologies, or a Master's degree in the same 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 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. 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 for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked: 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. The actual annualized salary offered will be shown in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Capital One offers a comprehensive, 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 be open for 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 in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with criminal histories consistent with applicable laws and regulations. If you require accommodations during the recruitment 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 provide needed accommodations. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services advertised on this site.
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