Lead ML Engineer — GenAI, Evaluation & Production Platforms

Capital One National Association; Plano (TX); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One seeks a Lead Machine Learning Engineer to architect agentic platforms, scale multi-agent workflows, and deliver production AI solutions. You will partner with product and business teams to drive high-impact use cases while upholding data privacy, governance, and explainability standards.

You should have 6+ years in distributed data systems and 4+ years coding in Python/ Scala/ Java; advanced degrees preferred for research leadership and GenAI experience.

Qualifications

• Bachelor’s degree required; strong data-intensive solution design.
• At least 6 years designing data-intensive solutions with distributed computing.
• At least 4 years programming in Python, Scala, or Java.

Responsibilities

• Architect agentic platforms and scalable agentic engines.
• Drive AI evaluation, observability, and model risk mitigation.
• Deliver production AI solutions with cross-functional teams.
• Enforce data privacy, regulatory posture, and auditability.

Skills

Distributed computing

Python/Scala/Java

Education

Bachelor’s Degree

Master’s or PhD in CS/EE/Math

Tools

LangChain

LangGraph

LlamaIndex

Vector Databases

PyTorch

scikit-learn/Spark/TensorFlow

Job description

Capital One seeks a Lead Machine Learning Engineer to architect agentic platforms, scale multi-agent workflows, and deliver production AI solutions. You will partner with product and business teams to drive high-impact use cases while upholding data privacy, governance, and explainability standards.

You should have 6+ years in distributed data systems and 4+ years coding in Python/ Scala/ Java; advanced degrees preferred for research leadership and GenAI experience.