Agentic Data Engineer

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week at minimum or other frequency dictated by the business if more than 3 days.

The Role

The Agentic Data Engineer is a preeminent technical expert who designs builds and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from Design through manufacturing and customer support. This role requires deep fluency in data science and agentic AI and is responsible for endtoend technical strategy and execution for Vehicle Product engineering data and intelligent automation.

You will combine deep vehicle product engineering/process understanding with modern data engineering large-scale distributed systems and AI/ML literacy to create selfhealing agentic data and decision systems that continuously monitor vehicle design and engineering processes CAD detect and explain anomalies and proactively recommend or execute actions that improve safety quality delivery and cost.

What Youll Do

• Serve as the principal engineer for vehicle product engineering data platforms and AIready 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 GMs Zero Crashes Zero Emissions Zero Congestion vision with endtoend ownership global impact and crossfunctional influence.
• Establish reference architectures governance and best practices for:
  • Highreliability batch and streaming pipelines from vehicle product design systems like Team Center and others.
  • Semantic models and curated data products for vehicle product domains (design develop manufacture).
  • Observability lineage quality and cost management across data and compute layers.

Agentic and Intelligent Systems

• Design and lead implementation of agentic workflows that use LLMs rules engines and ML models to:
  • Continuously monitor vehicle design and engineering process health and critical KPIs
  • Detect anomalies and drift in parts process or quality signals and automatically investigate root causes.
  • Trigger contextrich alerts recommended actions and where appropriate closedloop remediations in collaboration with engineering teams.
• Partner with data scientists and direct responsible engineers (DREs) to turn highvalue models into robust productiongrade services and agents with clear SLAs feedback loops and humanintheloop controls.
• Define and champion AgentOps practices (evaluation guardrails tracing failure analysis continuous improvement) for factoryfacing agents and copilots used by engineers operators and leaders.

EndtoEnd Delivery and Impact

• Own design and delivery of the most complex and strategically critical data engineering initiatives in vehicle developmentfrom discovery and technical design through implementation rollout and ongoing optimization.
• Solve previously unsolved or ambiguous problems using firstprinciples thinking and creative strategically sound technical approaches; set new standards for how data is captured managed and used.
• Ensure solutions are secure resilient and scalable across plants and regions with strong attention to change management operability and support models.
• Translate complex technical and analytical concepts into clear narratives and decision frameworks for senior leaders; influence roadmaps investment decisions and prioritization across multiple organizations.

Standards Governance and Reuse

• Define enterpriselevel patterns standards and reusable components for:
  • Ingestion of data systems and test equipment into cloud platforms.
  • Data quality rules monitors and remediation playbooks.
  • Semantic modeling metric definitions and KPI libraries for vehicle product engineering.
  • Agentic workflows (templates toolkits APIs) that can be applied across plants and use cases.
• Shape and guide technology selection (e.g. lakehouse streaming orchestration feature stores agent frameworks) and drive convergence on common platforms while balancing local constraints.

Leadership Mentorship and Influence

• Operate as a recognized preeminent expert in data engineering and agentic systemssought out across GM as the authority for strategy design reviews and complex incident/problem resolution.
• Mentor and coach senior and stafflevel data engineers data scientists and ML engineers; elevate technical bar through design reviews architecture forums and pair design/implementation.
• Act as a multiplier by building communities of practice (data engineering AgentOps) and enabling others through documentation patterns and internal training.
• Represent GM externally (conferences standards bodies strategic partners) as an industrylevel expert in data platforms and intelligent automation.

Your Skills & Abilities (Required Qualifications)

• Bachelors in Computer Science Data Engineering Electrical/Mechanical/Industrial Engineering or related technical field; or equivalent industry experience.
• 12 years of industry experience delivering largescale solutions and leading technical direction in relevant domains.
• 8 years of experience in data engineering or closely related roles
• Strong focus on largescale missioncritical systems
• Demonstrated mastery in:
  • Designing and operating largescale data platforms (batch streaming) on cloud infrastructure.
  • Building reliable observable pipelines in languages such as Python/Scala/Java and using modern orchestration and workflow tools.
  • Data modeling (relational columnar timeseries) and performance optimization for analytics ML and realtime decisioning.
• Strong literacy in data science and ML
• Experience working with LangGraph AutoGen Semantic Kernel or LlamaIndex

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Masters degree in Computer Science Data Engineering Electrical/Mechanical/Industrial Engineering or related technical field; or equivalent industry experience.

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: $248300 - $315000. 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.)

#LI-CC1

About GM

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.

Why Join Us

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.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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. To learn more visit How we Hire.

Accommodations

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 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.