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$162,000–$246,150.
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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.
JOB TITLE: Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
The Lead AI Engineer joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that power core business functions. You will partner with cross-functional teams to design, test, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, and model evaluation. The role involves inventing state-of-the-art LLM optimization techniques to improve performance, scalability, cost, and latency for large-scale production systems. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, while programming in Python, Go, Scala, or Java. This position addresses the technical challenge of building responsible, scalable, and high-performance AI infrastructure to provide real-time, personalized customer experiences within a banking context.
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 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 AI environments.
Deliver AI-powered products that improve internal 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.
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.
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 judiciously applying novel techniques in production (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#
Kubernetes
Kubeflow Pipelines
Ray
Polars
AWS
Google Cloud
Azure
VectorDBs
LLM Inference
ETL
Model Orchestration
Similarity Search