AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
About the role
- Staff AI Engineer developing high-impact AI solutions for GM. Collaborating with internal partners to prototype and implement AI-powered solutions across various business domains.
Responsibilities
- 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
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