Staff AI Engineer: Analytics & Domain Intelligence

General Motors; Austin (TX); Hybrid; USD 172,000 - 221,000; Full time

Benefits offered by this job

Relocation benefits

GM vehicle program

Job summary

General Motors in the Austin area is seeking a Staff AI Engineer to build the next generation of analytics experiences on top of trusted telematics, aftersales, and energy data. This role blends AI, analytics, software engineering and data products to turn governed data into trusted answers that help teams make better decisions faster.

You will work at the intersection of AI, analytics, software engineering, and data products—transforming governed datasets and domain expertise into scalable,

Qualifications

• 8+ years of experience in software engineering, AI engineering, data platforms, or related fields, including senior or staff-level leadership.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
• Proven experience building production AI applications and LLM-powered analytics.
• Strong Python and SQL programming skills.
• Experience with large-scale distributed data platforms and cloud environments (Azure, AWS, or GCP).

Responsibilities

• Build AI-powered analytics experiences grounded in governed data products.
• Design multi-agent systems and reusable AI services that turn data into usable intelligence.
• Create natural-language interfaces that abstract schemas and SQL.
• Collaborate with data product teams to ensure high-quality datasets.
• Develop retrieval, grounding, reasoning, memory, and evaluation patterns.
• Build frameworks enabling domain experts to contribute to BI.
• Optimize production AI systems for performance and cost efficiency.

Skills

Python

SQL

Technical leadership

AI engineering

Data platforms

Education

Bachelor's degree in CS/Software Engineering or related field

Tools

Databricks

Unity Catalog

LangGraph

LangChain

LangSmith

Job description

General Motors in the Austin area is seeking a Staff AI Engineer to build the next generation of analytics experiences on top of trusted telematics, aftersales, and energy data. This role blends AI, analytics, software engineering and data products to turn governed data into trusted answers that help teams make better decisions faster.

You will work at the intersection of AI, analytics, software engineering, and data products—transforming governed datasets and domain expertise into scalable,