This role pays more than
85%
of similar roles. Most pay
$181,062–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
versus about
$214k
for comparable roles.
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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
Senior Lead AI Engineer (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) joins the Intelligent Foundations and Experiences team to develop proprietary solutions for banking services. This role involves collaborating with cross-functional teams of engineers, research scientists, and product managers to design, test, deploy, and support critical AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, and implementing state-of-the-art LLM optimization techniques to improve performance metrics like latency and throughput. The candidate will utilize a technical stack including PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Proficiency in Python, Go, Scala, or Java is required to build scalable systems. The role focuses on solving complex problems related to high-performance AI infrastructure and creating responsible, automated tools for customer interactions and internal workflows.
Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Implement similarity search, guardrails, model evaluation, and observability for production AI systems.
Develop state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Integrate open-source and SaaS technologies such as Hugging Face, VectorDBs, and PyTorch into the infrastructure.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Translate complex scientific research and publications into practical, production-ready AI solutions.
Lead and mentor an engineering team while influencing cross-functional stakeholders on AI initiatives.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI/ML algorithms.
At least 6 years of experience programming with Python, Go, Scala, or Java.
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/ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Experience applying state-of-the-art techniques for optimizing training and inference software (preferred).