Staff AI Engineer: Analytics & Domain Intelligence (Hybrid)

General Motors

Michigan

Hybrid

USD 172,000 - 221,000

Full time

11 days ago

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Benefits offered by this job

GM vehicle discounts
Relocation benefits
GM vehicle program eligibility

Job summary

General Motors seeks a Staff AI Engineer to build AI-powered analytics atop trusted data at Warren or Austin centers. You will craft natural-language analytics that let users ask business questions without SQL or schemas, and drive scalable AI services with strong governance.

Requirements include 8+ years in software/AI engineering, a related bachelor’s degree, and hands-on experience with production AI apps, Python, SQL, and semantic data products. Hybrid work and enterprise-scale data awaited.

Qualifications

  • 8+ years of software/AI engineering or related leadership roles.
  • Bachelor’s degree or equivalent practical experience in a technical field.
  • Proven experience building production AI applications and agentic systems.
  • Strong Python and SQL skills; understanding of data governance and semantic models.

Responsibilities

  • Build AI-powered analytics experiences atop governed data products and domain context.
  • Design and develop multi-agent systems and reusable AI services.
  • Create natural-language experiences that avoid requiring deep schema/SQL knowledge.
  • Partner with data product teams to use high-quality, contract-backed datasets.
  • Develop patterns for grounding, memory, evaluation to improve trust and explainability.
  • Build reusable frameworks enabling domain experts to contribute to BI.

Skills

Senior AI engineering
Python engineering
SQL
Semantic engineering
Data products
Domain context
Collaboration with analysts

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks
Unity Catalog
LangGraph
LangChain
LangSmith

Job description

General Motors seeks a Staff AI Engineer to build AI-powered analytics atop trusted data at Warren or Austin centers. You will craft natural-language analytics that let users ask business questions without SQL or schemas, and drive scalable AI services with strong governance.

Requirements include 8+ years in software/AI engineering, a related bachelor’s degree, and hands-on experience with production AI apps, Python, SQL, and semantic data products. Hybrid work and enterprise-scale data awaited.

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