Staff AI Engineer – Analytics & Domain Intelligence

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

Were 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 questionsnot 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 productstransforming 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 Youll 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.
• Bachelors 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: $171700 - $220500. 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.)

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