This role pays more than
62%
of similar roles. Most pay
$165,875–$246,150
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$206k
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.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary solutions that power core business functions. Working within a cross-functional team of engineers and scientists, you will design, test, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, and observability. You will invent state-of-the-art LLM optimization techniques to improve performance metrics like latency, throughput, and cost for production systems. The role requires expertise in Python, Go, Scala, or Java, along with experience using tools such as AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails. This position focuses on the technical challenge of building scalable, high-performance AI infrastructure to solve complex problems related to large-scale production systems and advanced machine learning research applications in 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 for production systems.
Develop state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Utilize a broad stack of technologies including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Translate complex scientific research into practical, high-performance production features for banking products.
What we're looking for
Bachelor'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 or technologies.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
At least 4 years of experience programming with Python, Go, Scala, or Java.
Experience designing, developing, delivering, and supporting AI services (preferred).
Experience deploying scalable and responsible AI solutions on cloud platforms like AWS, Google Cloud, or Azure (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Experience applying state-of-the-art techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost (preferred).
Passion for staying abreast of the latest AI research and judiciously applying novel techniques in production (preferred).