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This listing doesn't post a salary. Most similar roles pay
$176,750–$254,750.
Based on 240 similar postings.
Employer
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
across 1107 roles with salary data.
The Sr. Lead AI Engineer (FM Hosting, LLM Inference) joins the Intelligent Foundations and Experiences team to build and deploy proprietary AI solutions. You will partner with cross-functional teams to design, develop, test, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves inventing state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for large-scale production systems. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, Java, and C++. This position addresses the technical challenge of creating responsible, scalable, and high-performance AI infrastructure to power real-time, personalized customer experiences and internal tools within a banking context.
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 a tech stack including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Lead and mentor an engineering team while influencing cross-functional stakeholders.
Apply novel techniques from scientific publications to production AI systems.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms.
Master'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.
At least 6 years of experience programming with Python, Go, Scala, or Java.
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).