Principal Engineer, AI Acceleration
General Motors5 days ago
Warren, MI, USA or Austin, TX, USAStaff+
Responsibilities
- Identify repetitive, slow, manual, or error-prone work where AI can create major improvements.
- Prototype, test, validate, and move successful AI solutions into reliable, maintainable production capabilities.
- Build AI applications using approved enterprise technologies and integrate them with Google Workspace, Figma, Jira, enterprise data platforms, and other services.
- Establish appropriate practices for architecture, testing, observability, security, privacy, access control, deployment, incident response, and lifecycle management.
- Partner with security, legal, privacy, and risk stakeholders on responsible AI guardrails.
- Define and evaluate business-impact metrics including time saved, quality, adoption, cycle time, cost, and user satisfaction.
- Create reusable architectures, patterns, components, documentation, and enablement for broader adoption.
- Mentor engineers, conduct design and code reviews, and provide technical recommendations to executive and technical audiences.
Requirements
- 10+ years of progressive software engineering experience delivering production software used by customers or employees.
- Experience serving as a Principal Engineer, senior technical leader, or equivalent with influence across multiple teams or organizations.
- Hands-on experience designing and building AI- or LLM-enabled applications, agents, or automations across a broad range of tools and models.
- Strong understanding of prompting, retrieval-augmented generation, tool use, context management, model selection, evaluation, and observability.
- Experience integrating AI solutions with enterprise applications, APIs, data sources, identity systems, and workflow platforms.
- Strong software engineering fundamentals including architecture, APIs, distributed systems, testing, CI/CD, monitoring, security, and operational excellence.
- Ability to translate ambiguous business problems into product and technical strategies and deliver solutions iteratively.
- Experience using data and user feedback to prioritize work and evaluate adoption, quality, and measurable impact.
- Demonstrated success helping people and teams adopt AI tools and continue using them after rollout.
- Strong communication, collaboration, autonomy, decision-making, and accountability skills.
- Competitive experience may include internal developer platforms, productivity tools, workflow automation, enterprise AI products, employee-facing software, agentic systems, Model Context Protocol, orchestration, evaluation frameworks, multi-model solutions, Glean, Claude, Gemini, Figma AI, Google Workspace, or Jira.
- Experience establishing AI engineering standards, reusable patterns, governance, responsible-use practices, productivity measurement, mentoring communities, creative or design workflows, enterprise data systems, or manufacturing and automotive environments is advantageous.
Benefits
- Remote-based role; candidates within a specified radius of a GM hub may be expected to report onsite three times per week or at another frequency set by their manager.
- Relocation benefits are available for qualifying candidates under company policy.
- Benefits are available from day one, with total rewards resources provided by GM.
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.