This role pays more than
80%
of similar roles. Most pay
$187,762–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
versus about
$217k
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.
The Senior Lead AI Engineer (FM Hosting, LLM Inference) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary solutions that power core business functions. In this role, you will collaborate with cross-functional teams to 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, Java, C++, or C# along with experience using AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails. You will solve complex technical challenges involving the development of scalable, high-performance AI infrastructure to enhance how customers interact with banking services through advanced machine learning models and automated systems.
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 Huggingface, 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 techniques.
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 with at least 6 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 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 such as AWS, Google Cloud, or Azure.
Experience designing, developing, and supporting complex AI systems including LLM inference, similarity search, and vector databases.
Experience applying state-of-the-art techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Excellent communication skills to articulate complex AI concepts to peers and other stakeholders.