This role pays more than
80%
of similar roles. Most pay
$191,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
versus about
$219k
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. You will collaborate with cross-functional teams of engineers, scientists, and product managers to design, test, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, and observability. The role involves implementing state-of-the-art LLM optimization techniques to improve performance metrics like scalability, cost, latency, and throughput for production systems. You will utilize a technical stack featuring PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Required skills include proficiency in Python, Go, Scala, or Java, along with expertise in hardware and software optimization to solve complex problems within the domain of large-scale production AI infrastructure for banking services.
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 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.
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, integrating, delivering, and supporting complex AI systems including LLM inference 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 present findings clearly.