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About the Role

The Agentic Data Engineer is a pre-eminent technical expert responsible for designing, building, and scaling industrial-grade data and AI platforms that power vehicle product engineering. This role requires deep fluency in data science and agentic AI, with responsibility for end-to-end technical strategy and execution for vehicle product engineering data and intelligent automation.

Responsibilities

• Serve as the principal engineer for vehicle product engineering data platforms and AI-ready data products supporting the global vehicle design process modernization.
• Define and drive a technical roadmap for vehicle product engineering and agentic automation in engineering, aligned with GM’s Zero Crashes, Zero Emissions, Zero Congestion vision.
• Establish reference architectures, governance, and best practices for high-reliability batch and streaming pipelines, semantic models, curated data products, and observability, lineage, quality, and cost management.
• Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to monitor process health, detect anomalies, and trigger alerts or actions.
• Partner with data scientists and direct responsible engineers (DREs) to turn high-value models into production-grade services and agents.
• Define and champion AgentOps practices for factory-facing agents and copilots.
• Own design and delivery of complex data engineering initiatives in vehicle development.
• Solve ambiguous problems using first-principles thinking and creative technical approaches.
• Ensure solutions are secure, resilient, and scalable across plants and regions.
• Translate complex technical and analytical concepts into clear narratives for senior leaders.
• Define enterprise-level patterns, standards, and reusable components for data ingestion, data quality, semantic modeling, and agentic workflows.
• Shape and guide technology selection and drive convergence on common platforms.
• Operate as a recognized pre-eminent expert in data engineering and agentic systems.
• Mentor and coach senior and staff-level data engineers, data scientists, and ML engineers.
• Act as a multiplier by building communities of practice and enabling others.
• Represent GM externally as an industry-level expert in data platforms and intelligent automation.

Requirements

• Bachelor’s in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience.
• 12+ years of industry experience delivering large‑scale solutions and leading technical direction in relevant domains.
• 8+ years of experience in data engineering or closely related roles.
• Strong focus on large‑scale, mission‑critical systems.
• Demonstrated mastery in designing and operating large‑scale data platforms (batch + streaming) on cloud infrastructure.
• Demonstrated mastery in building reliable, observable pipelines in languages such as Python/Scala/Java and using modern orchestration and workflow tools.
• Demonstrated mastery in data modeling (relational, columnar, time‑series) and performance optimization for analytics, ML, and real‑time decisioning.
• Strong literacy in data science and ML.
• Experience working with LangGraph, AutoGen, Semantic Kernel, or LlamaIndex.
• Master’s degree in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience (Preferred).
• This job may be eligible for relocation benefits.
• Company Vehicle: Eligible to participate in a company vehicle evaluation program.
• GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.

Skills

• Data Engineering
• AI Platforms
• Data Science
• Agentic AI
• Intelligent Automation
• Large-scale distributed systems
• AI/ML
• Data modeling
• Python
• Scala
• Java
• Orchestration tools
• Workflow tools
• LangGraph
• AutoGen
• Semantic Kernel
• LlamaIndex

Location

• Austin Technical Center

Work Type

• Hybrid

Experience Level

• 12+ years of industry experience
• 8+ years of experience in data engineering

Education Level

• Bachelor's in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience
• Master's degree in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience (Preferred)

Salary/Compensations

• $248,300 - $315,000

Benefits

• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Variety of health and wellbeing benefit programs.
• 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.
• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

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.