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About 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.

Responsibilities

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.

Requirements

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.

Skills

Python
SQL
Semantic engineering
Analytical data products
Business semantics
Domain context
Cloud environments (Azure, AWS, GCP)
Performance optimization
Scalability
Reliability
Cost efficiency
Databricks
Unity Catalog
Agent Bricks
LangGraph
LangChain
LangSmith
Retrieval-augmented generation
Grounding
Evaluation
Reasoning
Explainability
MLOps
Monitoring
Feedback loops
Continuous improvement
Telemetry
IoT
Sensor data
Operational data
Event-rich data
Written communication
Verbal communication

Location

Warren Global Technical Center
Austin Technical Center

Work Type

Hybrid

Experience Level

Staff-level
Senior-level

Education Level

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Salary/Compensations

$171,700 - $220,500

Benefits

Relocation benefits
Company vehicle evaluation program
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

About the Company

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.