Director of AI/ML Engineering — Agentic & GenAI Leader

Stellantis

Auburn Hills (MI)

On-site

USD 180,000 - 240,000

Full time

6 days ago
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Job summary

Stellantis North America seeks a Director of AI/ML Engineering to build and lead a 6-8 engineer team, delivering production AI solutions for engineering, quality and vehicle-data use cases. This hands-on leader blends software development with ML, driving end-to-end delivery and production health across the portfolio.

You will work with product management and MLOps partners, shape requirements, and ensure standards while collaborating with a global AI/ML organization.

Qualifications

  • Bachelor's degree in CS/engineering or equivalent experience.
  • At least 12 years in software engineering with leadership roles.
  • Proven track record shipping and operating production software.
  • Hands-on ML/AI product development experience with judgeable outcomes.
  • Experience with LLMs and agentic/AI-powered systems is a plus.

Responsibilities

  • Lead North America AI/ML engineering team (6-8 engineers) and hire.
  • Deliver end-to-end production AI/ML solutions including data pipelines, services and dashboards.
  • Set engineering standards (architecture, CI/CD) and review code.
  • Partner with program/product-management and cross-region teams.
  • Grow a regional engineering hub and influence global platforms.

Skills

Strong Python
Cloud AWS
LLM-based development
Leadership experience
Production software delivery

Education

Bachelor's degree in Computer Science or Engineering
Equivalent practical experience

Tools

Databricks
Spark
APIs

Job description

Stellantis North America seeks a Director of AI/ML Engineering to build and lead a 6-8 engineer team, delivering production AI solutions for engineering, quality and vehicle-data use cases. This hands-on leader blends software development with ML, driving end-to-end delivery and production health across the portfolio.

You will work with product management and MLOps partners, shape requirements, and ensure standards while collaborating with a global AI/ML organization.

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