AI Platform & ML Engineering Lead

Hobbsnews; San Jose (CA); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One seeks a Senior Manager, AI Engineering (People Leader) to lead the Gen AI Platform Services. You will guide cross-functional teams in deploying AI-powered products, shaping the technical vision, and mentoring engineers while ensuring responsible AI practices.

The role requires 6+ years in AI/ML with 1+ year in people leadership and a strong foundation in software/hardware optimization, cloud platforms, and large language models. Base salary aligns with San Jose, CA market ranges.

Qualifications

• Bachelor’s or Master’s degree with related AI/ML experience.
• Minimum 1 year of people leadership experience.
• Experience deploying scalable and responsible AI solutions on cloud platforms.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Oversee design, development, testing, deployment and support of AI software components.
• Make build-vs-buy decisions across Open Source and SaaS AI technologies.
• Invent state-of-the-art LLM optimization techniques for production systems.
• Influence long-term roadmaps and contribute to foundational AI systems at Capital One.
• Attract and mentor top AI engineering talent and foster a learning culture.

Skills

People leadership

Cloud AI deployment

LLM Inference

Python

C++

Java

Golang

VectorDBs

Guardrails

Memory

Communication skills

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

At least 1 year of people leadership experience

Job description

Capital One seeks a Senior Manager, AI Engineering (People Leader) to lead the Gen AI Platform Services. You will guide cross-functional teams in deploying AI-powered products, shaping the technical vision, and mentoring engineers while ensuring responsible AI practices.

The role requires 6+ years in AI/ML with 1+ year in people leadership and a strong foundation in software/hardware optimization, cloud platforms, and large language models. Base salary aligns with San Jose, CA market ranges.