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$162,000–$246,150.
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
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1107 roles with salary data.
The Lead AI Engineer joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions that empower various business units. In this role, you will design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will also invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for production systems. The technical stack includes AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, and Java. You will solve complex problems by applying novel research to build responsible, scalable, and high-performance AI infrastructure that enhances how customers interact with banking services and how associates perform their daily work.
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 systems.
Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Apply novel techniques from scientific publications to production environments.
Deliver AI-powered products that enhance associate workflows and customer interactions.
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.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting AI services (preferred).
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
Passion for staying abreast of the latest AI research and AI systems (preferred).
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
Nemo Guardrails
LLM Inference
Similarity Search
MLX
Agentic AI
Gen AI
Observability
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
Nemo Guardrails
LLM Inference
Similarity Search
MLX
Agentic AI
Gen AI
Observability
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
Nemo Guardrails
LLM Inference
Similarity Search
MLX
Agentic AI
Gen AI
Observability