This role pays more than
85%
of similar roles. Most pay
$167,189–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
versus about
$207k
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.
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary solutions that empower internal teams and enhance customer interactions through responsible, scalable machine learning. The role involves partnering with cross-functional teams to design, develop, test, and support ML software components including distributed model training, inference, orchestration, and observability. You will implement state-of-the-art ETL and optimization techniques to improve performance metrics like latency, throughput, and cost for large-scale production systems. The technical stack includes Python, Go, Scala, Java, C++, C#, Kubernetes, Kubeflow pipelines, Ray, and Polars. This position addresses the challenge of building high-performance AI infrastructure and advanced models, including LLM inference, similarity search, vector databases, and guardrails, to solve complex problems within the banking domain while ensuring robust system reliability.
Design, develop, test, and support ML software components including distributed training, inference, and orchestration.
Implement state-of-the-art ETL and optimization techniques to improve performance, scalability, cost, and latency of production systems.
Utilize a broad stack of open-source and SaaS technologies like Kubernetes, Kubeflow, Ray, and Polars.
Develop and integrate complex AI components including LLM inference, similarity search, vector databases, and guardrails.
Contribute to the technical vision and long-term roadmap for machine learning systems at Capital One.
Translate scientific research and industry trends into practical, high-performance production features.
Lead and mentor engineering teams while influencing cross-functional stakeholders on AI product development.
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.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI/ML algorithms including LLM Inference, Similarity Search, VectorDBs, and Guardrails using Python, C++, C#, Java, or Golang.
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability
Python
Go
Scala
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability
Python
Go
Scala
Java
C++
C#
AWS
Huggingface
PyTorch
VectorDBs
LLM Inference
Nemo Guardrails
Machine Learning
Gen AI
Similarity Search
Model Evaluation
Observability