General Motors
Staff Software Engineer – AI Platform
$189K–$333K
Warren, Michigan, United States of America +2 · Hybrid · Staff · Full-time · Posted Sep 30, 2026
- Location
- Warren, Michigan, United States of America
Austin Technical Center - Austin Technical Center
Mountain View, California, United States of America - Experience
- 8+ years of software engineering experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need sponsorship now or in the future should not apply.
About the job
Leads architecture and hands-on development of reusable customer-facing AI platform services, from design through production.
What you'll do
- Design and deliver reusable AI modules and platform services, including orchestration, grounding, retrieval, memory, and tool integration.
- Define system architecture and technical artifacts, and lead decisions on reliability, security, observability, and operational readiness.
- Drive testing, AI evaluation, CI/CD, production operations, and technical alignment across teams.
What they ask for
- 8+ years of software engineering experience, including ownership of distributed, cloud-native, or customer-facing systems.
- Track record as a hands-on technical architect, staff/principal engineer, or lead programmer delivering production systems at scale.
- Expert Python and strong Go and/or Java programming skills.
- Production experience with LLM applications and cloud delivery, including GCP and/or Azure.
Nice to have
- Conversational AI experience in automotive, mobility, contact center, consumer, or other high-scale customer-facing domains.
- Experience with Vertex AI, Azure AI services, model gateways, vector databases, retrieval/evaluation platforms, or model observability.
Pay
$189,300–$333,400 USD base salary
Tools
Python, Go, Java, GCP, Azure, Kubernetes, Vertex AI, MCP
AI focus
Architects and builds customer-facing conversational AI and agent platform capabilities, including orchestration, RAG, grounding, memory, tool integration, inference, and AI evaluation.
Model-written summary · the original posting is authoritative