Staff AI Engineer – Analytics & Domain Intelligence

General Motors; Michigan; Hybrid; USD 172,000 - 221,000; Full time

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

## Staff AI Engineer – Analytics & Domain IntelligenceApplyremote type: Hybridlocations: Warren, Michigan, United States of America: Austin, Texas, United States of Americatime type: Full timeposted on: Posted Todayjob requisition id: JR-202617051**Job Description**This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].**The Role**We’re looking for a hands-on Staff AI Engineer to build the next generation of analytics experiences on top of trusted telematics, aftersales, and energy data. This role focuses on turning complex data into clear, natural-language answers to important business questions—not generic chatbots or demos, but real systems that help people ask better questions, get trusted answers, and make decisions faster.You will work at the intersection of AI, analytics, software engineering, and data products—transforming governed datasets and domain expertise into scalable, natural-language intelligence. You will help turn reusable data products into AI-ready experiences that support engineers, analysts, product teams, leaders, customer care teams, service operations, and other users across the enterprise.**What You’ll Do*** Build AI-powered analytics experiences grounded in trusted, governed data products and domain context.* Design and develop multi-agent systems, orchestration patterns, supervisor-agent frameworks, and reusable AI services that turn data into usable intelligence.* Create natural-language experiences that help users ask business questions without needing to know schemas, dashboards, or SQL.* Partner with data product teams to ensure AI capabilities are built on high-quality, curated, and contract-backed datasets.* Build retrieval, grounding, reasoning, memory, and evaluation patterns that improve trust, explainability, and answer quality.* Develop reusable frameworks that allow domain experts to contribute and improve business intelligence without deep AI expertise.* Use platform telemetry, feedback, and usage patterns to improve accuracy, usefulness, and adoption over time.* Optimize production AI systems for performance, reliability, scalability, and cost efficiency.**Your Skills & Abilities (Required Qualifications)*** 8+ years of experience in software engineering, AI engineering, data platforms, or related fields, including senior or staff-level technical leadership.* Bachelor’s degree in Computer Science, Software Engineering, Data Science, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.* Proven experience building production AI applications, agentic systems, or LLM-powered analytical experiences.* Strong Python engineering skills and exceptional SQL skills.* Strong understanding of semantic engineering, analytical data products, business semantics, and domain context, and how they influence AI answer quality and trustworthiness.* Experience exposing governed, curated, or contract-backed data products and semantic models to AI systems.* Experience building AI-powered analytical solutions on top of large-scale distributed data platforms.* Experience building and operating production systems in a major cloud environment (Azure, AWS, or GCP).* Experience designing for performance, scalability, reliability, and cost efficiency.* Strong judgment around analytical correctness, not just response fluency or model quality.* Ability to work effectively with analysts, engineers, data scientists, ML scientists, and domain experts.**What Can Give You a Competitive Advantage (Preferred Qualifications)*** Experience with Databricks, Unity Catalog, Agent Bricks, LangGraph, LangChain, LangSmith, or similar technologies.* Experience with retrieval-augmented generation, grounding, evaluation, reasoning, and explainability in production environments.* Experience with MLOps, monitoring, feedback loops, and continuous-improvement practices for AI systems.* Experience working with telemetry, IoT, sensor, operational, or other event-rich data environments.* Track record of translating complex data and AI concepts into clear, actionable insights for non-technical stakeholders.* Demonstrated ability to lead cross-functional initiatives and influence without direct authority.* Strong written and verbal communication skills, with a focus on clarity, transparency, and trust.This job may be eligible for relocation benefits.Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.**Compensation:*** The expected base compensation for this role is: $171,700 - $220,500. Actual base compensation within the identified range will vary based on factors relevant to the position.* Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.* Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)