Translate cutting-edge AI research into production-ready solutions that drive measurable impact across GM's product development lifecycle.
Requirements
- 5+ years of experience in AI/ML deployment, software engineering, or systems integration
- Proven ability to deliver enterprise-grade AI solutions in complex environments
- Strong understanding of MLOps, cloud infrastructure, and/or model lifecycle management
- Familiarity with automotive product development workflows
- Experience with physics-based modeling or CAE integration
- Knowledge of GM’s AI infrastructure and tooling ecosystem
Responsibilities
- Lead the deployment of scalable AI solutions from MVP to full production, ensuring robustness, performance, and maintainability.
- Collaborate closely with automotive domain experts throughout the AI solution lifecycle—from ideation and design to validation and deployment—to ensure contextual relevance and operational feasibility.
- Ensure all AI implementations adhere to GM’s enterprise standards for data privacy, security, and ethical AI practices.
- Drive user adoption through targeted training, documentation, and support.
- Act as a change agent to foster AI literacy and confidence across engineering teams.
- Work with AI architects, product managers, and business stakeholders to align technical execution with strategic priorities.
Other
- Bachelor’s degree in Engineering, Computer Science, or related field (Master’s preferred)
- Passion for ethical AI and responsible innovation
- Excellent communication and collaboration skills, especially in cross-disciplinary teams
- GM does not provide immigration-related sponsorship for this role.
- This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week
