Senior AI Governance Specialist – Vehicle Motion Software

Work Arrangement: Hybrid:   This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three days (Tues., Wed., Thurs.) a week, at minimum.

There’s never been a more exciting time to work at General Motors! We are passionate about our bold vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion . Our culture is built on inclusivity, where diverse perspectives are embraced, and every employee can contribute to their fullest potential. We offer flexible and tech-savvy work environments, foster innovation through collaboration, and encourage community engagement through volunteerism.

The AI Governance Specialist is responsible for establishing, executing, and continuously improving the AI governance framework for vehicle motion software product portfolio. This role provides technical leadership to ensure that all AI elements — whether embedded in vehicle products (e.g., vehicle motion control) or used in the software development process (e.g., AI-assisted requirement generation, test case generation, code tools) comply with applicable automotive safety standards and GM AI policies. The engineer serves as VMEC's primary lead on AI governance methodology and acts as the bridge between software engineering, system safety, and enterprise AI governance bodies.

Derive and maintain VMEC's AI governance framework from applicable standards including ISO 26262, ISO/PAS 8800, ISO/IEC TR 5469, ISO 21448 (SOTIF), and GM's AI Policy. Establish methodology to classify all AI elements and AI-powered tools within VMEC's scope using ISO 8800 usage levels, distinguishing in-product AI from off-line development AI. Develop and own the VMEC AI Governance Process and documentation aligned with ISO 26262 and ISO 8800 requirements. Pilot and scale up the process. Integrate AI governance requirements into existing VMEC software development processes and product lifecycle stages. Interpret and translate ISO 26262, ISO/PAS 8800, ISO 21448 and ISO/IEC 5469 requirements into actionable VMEC engineering guidance. Conduct gap analyses between current VMEC software processes, GM safety requirements, and applicable AI governance standards; prioritize and drive closure plans. Monitor the evolving AI standards landscape and proactively assess impact on VMEC processes. Maintain a comprehensive inventory of AI elements and AI-powered tools used within VMEC's product and process scope. Lead tool confidence level (TCL) determination per ISO 26262 and ISO 8800, assessing Tool Impact (TI) and Tool Error Detection (TD) for each AI tool in safety-critical workflows. Define and execute tool qualification plans for AI tools requiring qualification (e.g., AI-assisted test case generators, ML model trainers, code generation tools used in ASIL-rated software). Establish criteria and checklists for onboarding new AI tools into VMEC's governed ecosystem. Define and implement AI lifecycle controls encompassing data governance, model development oversight, verification and validation requirements, performance bounds, and operational guardrails. Develop and maintain processes for generating audit-ready AI governance artifacts (AI safety case evidence, tool qualification reports, data governance documentation). Support VMEC's participation in AI tool inventory reviews and compliance assessments. Align with GM's enterprise AI Governance Council, Enterprise Data Governance Office (EDGO), and GM AI Policy compliance requirements including data privacy, security, and export control considerations. Serve as the VMEC subject matter expert for AI safety standards; provide training and guidance to software engineers, system engineers, and leadership on AI governance obligations. Lead and support the VMEC AI Community of Practice (AI CoP) on governance topics; develop and maintain reference materials on ISO 26262 and ISO 8800 applicability guidance. Partner