This role pays more than
82%
of similar roles. Most pay
$177,900–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
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.
The Senior Lead AI Engineer (GenAI Platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary solutions that power core business functions. You will collaborate with cross-functional teams of engineers, scientists, and product managers to design, test, deploy, and support critical AI software components. Key responsibilities include managing foundation model training, large language model inference, similarity search, guardrails, and observability while implementing state-of-the-art LLM optimization techniques to improve performance metrics like latency and throughput. The role requires proficiency in Python, Go, Scala, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. You will solve complex technical challenges by building scalable infrastructure for large-scale production systems, ensuring that AI capabilities are integrated responsibly to enhance how customers interact with banking services and how internal associates perform their daily work.
Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Implement technical features such as similarity search, guardrails, model evaluation, 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 at Capital One.
Translate complex scientific research into practical, production-ready AI solutions for banking products.
Lead and mentor an engineering team while influencing cross-functional stakeholders to deliver AI-powered products.
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 like 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.
Ability to lead and mentor an engineering team while influencing cross-functional stakeholders.
Excellent communication skills to articulate complex AI concepts clearly to peers.
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability