Hybrid Staff AI Engineer – AI Catalyst

Posted last week

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About the role

  • Partner with internal clients to understand their goals, challenges, and opportunities for AI adoption.
  • Prototype end-to-end AI solutions — from model evaluation and integration to deployment-ready proofs of concept.
  • Evaluate and apply state-of-the-art AI technologies (e.g., generative AI, computer vision, predictive modeling) to solve real business problems.
  • Collaborate cross-functionally with vehicle engineering, manufacturing, data, and IT teams to ensure successful implementation and knowledge transfer.
  • Communicate complex AI concepts effectively to non-technical audiences.
  • Lead high-impact AI enablement projects and mentor engineers across teams.

Requirements

  • 7 years of experience in software engineering, ML engineering, or applied data science.
  • Proven ability to translate business problems into technical AI solutions.
  • Strong understanding of modern AI methods and their practical applications (LLMs, diffusion models, computer vision, predictive modeling, etc.).
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Excellent communication and consulting skills; ability to influence and collaborate with cross-functional partners.
  • Experience leading complex AI projects end-to-end, from scoping to prototype delivery.

Benefits

  • GM offers a variety of health and wellbeing benefit programs

Job title

Staff AI Engineer – AI Catalyst

Job type

Experience level

Lead

Salary

$180,000 - $270,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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