This role pays more than
62%
of similar roles. Most pay
$162,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$204k
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
1043 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1037 roles with salary data.
Lead AI Engineer (Gen AI Platform Services) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary solutions that power core business functions. This role involves collaborating with cross-functional teams of engineers, research scientists, and product managers to build AI-powered products. Key responsibilities include designing, testing, and supporting software components such as foundation model training, large language model inference, similarity search, guardrails, and observability. The engineer will implement state-of-the-art LLM optimization techniques to improve performance metrics like latency, throughput, and cost for production systems. The role requires proficiency in Python, Go, Scala, or Java, along with experience using PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. This position focuses on creating scalable, responsible AI infrastructure to solve complex problems within the banking sector by enhancing how customers interact with financial services.
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 scientific research and novel techniques into practical production applications.
Solve complex, undefined problems by identifying root causes and providing clear technical solutions.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 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 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 such as 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 for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).
Passion for staying abreast of the latest AI research and judiciously applying novel techniques in production (preferred).
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability