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$162,000–$248,137.
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About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
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The Lead AI Engineer (AI Foundations, VLM Customization) joins the Intelligent Foundations and Experiences team to advance the state of the art in science and AI engineering. This role involves partnering with cross-functional teams to design, develop, test, deploy, and support AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for large scale production AI systems. Required technical skills include Python, Go, Scala, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, and Nemo Guardrails. The work focuses on building proprietary, responsible, and scalable AI models and platforms to solve complex business problems and enhance customer interactions.
Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability systems.
Utilize open-source and SaaS technologies including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Develop state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Apply novel techniques from scientific publications to production AI environments.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI and ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 2 years of experience developing AI and ML algorithms.
At least 4 years of experience programming with Python, Go, Scala, or Java.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting AI services (preferred).
Experience developing AI and ML algorithms like LLM Inference, Similarity Search, and VectorDBs using Python, C++, C#, Java, or Golang (preferred).
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).
Passion for staying abreast of the latest AI research and judiciously applying novel techniques in production (preferred).