This role pays more than
93%
of similar roles. Most pay
$177,262–$246,150
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$212k
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.
As a Sr. Lead AI Engineer (AI Foundations) within the Intelligent Foundations and Experiences team, you will partner with cross-functional teams of engineers, research scientists, and product managers to deliver AI-powered products. You will design, develop, test, deploy, and support critical software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. To achieve these goals, you will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch while implementing state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput. The role focuses on the core challenge of building scalable, high-performance AI infrastructure and proprietary solutions that provide responsible and reliable machine learning capabilities for banking services. Required skills include proficiency in Python, Go, Scala, or Java, along with deep expertise in engineering and mathematics.
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.
Utilize a broad stack of technologies including Huggingface, VectorDBs, PyTorch, and AWS Ultraclusters.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Translate complex scientific research into practical, production-ready AI solutions.
Lead and mentor an engineering team while influencing cross-functional stakeholders.
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.
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/ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Experience applying state-of-the-art techniques for optimizing training and inference software (preferred).