Sr. Lead AI Engineer (GenAI Platform)
Capital One is building responsible and reliable AI systems to reimagine banking. The Intelligent Foundations and Experiences (IFX) team develops and deploys proprietary AI models and platforms that deliver value to millions of customers. In this role, you will partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform how our associates work and how customers interact with Capital One.
Sr. Lead AI Engineer (GenAI Platform)
Capital One is building responsible and reliable AI systems to reimagine banking. The Intelligent Foundations and Experiences (IFX) team develops and deploys proprietary AI models and platforms that deliver value to millions of customers. In this role, you will partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform how our 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, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve performance—scalability, cost, latency, throughput—of large-scale production AI systems. Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Ideal Candidate: You love building systems, take pride in the quality of your work, and share our commitment to doing the right thing. You stay abreast of the latest AI research and can judiciously apply novel techniques in production. You adapt quickly, bring clarity to big problems, and articulate findings concisely. You have the courage to share new ideas even when unproven. You are deeply technical with a strong foundation in engin
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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, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve performance—scalability, cost, latency, throughput—of large-scale production AI systems. Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Ideal Candidate: You love building systems, take pride in the quality of your work, and share our commitment to doing the right thing. You stay abreast of the latest AI research and can judiciously apply novel techniques in production. You adapt quickly, bring clarity to big problems, and articulate findings concisely. You have the courage to share new ideas even when unproven. You are deeply technical with a strong foundation in engin
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