General Motors Jobs

Senior AI Workflow Engineer - Enterprise Transformation

General Motors

Senior AI Workflow Engineer - Enterprise Transformation

Posted 11 Hours Ago

Be an Early Applicant

3 Locations

Hybrid

202K-310K Annually

Senior level

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing

We make amazing products people love, for every journey.

The Role

Design and deliver enterprise-grade AI workflow transformations on GCP. Build secure, event-driven backend services and multi-step AI agents, integrate bots with enterprise systems, implement telemetry, testing, CI/CD, HITL validation, and create reusable architecture, documentation, and runbooks while guiding adoption and governance.

Summary Generated by Built In

Description
The Role
In this role, you will own the end-to-end transformation of business workflows using AI. Rather than just building prompts or standalone agents, you will design secure, reusable, enterprise-grade AI solutions that modernize how work gets done across GM. You will partner closely with engineering, product, and business teams to define platform standards, shape architecture, and scale AI adoption, from intake and solution design through governance and long-term sustainment. You will also work directly with business teams to identify high-value workflow transformation opportunities and drive consistent AI patterns across both collaboration and enterprise AI platforms.
What You'll Do

Write clean, scalable, and secure backend services and integrations using Python and/or JavaScript frameworks (Node.js, TypeScript).
Build and operate cloud-native, event-driven services on GCP using Cloud Run, Pub/Sub, Cloud Functions, and API Gateway.
Code data pipelines and integration layers to migrate legacy enterprise workflows (e.g., M365) into native GCP environments.
Implement robust security in integrations using GCP IAM, OAuth2, service accounts, and enterprise access controls.
Build and maintain automated testing frameworks, CI/CD pipelines (GitHub), and structured release environments.
Engineer and deploy production-grade multi-step AI agents and bot-driven workflows integrated with Vertex AI, Gemini, and external LLMs.
Architect and code Human-in-the-Loop (HITL) validation nodes into automated pipelines for critical business processes.
Design, test, and optimize production prompts and agent instructions with guardrails, exception handling, and failure-recovery logic.
Implement telemetry, structured logging, and evaluation frameworks to monitor agent performance, accuracy, and latency.
Evaluate ambiguous business requests and author technical designs that translate them into clear execution pathways.
Own technical intake decisions: recommend when to use platform capabilities, configuration, or custom AI solutions.
Create reusable architecture patterns, code templates, and shared libraries that enable internal developers to scale AI workflows.
Deliver comprehensive technical documentation, API specifications, blueprint repositories, and operational runbooks with all deployed code.
Lead rigorous code reviews for peer engineering levels to maintain code quality, security, and architectural alignment.

Your Skills & Abilities (Required Qualifications)

10+ years of hands-on experience in software engineering, platform architecture, or enterprise workflow automation in complex, highly matrixed corporate environments.
Proven experience leading or contributing to GCP-based transformations, including cloud migration, modernization of enterprise workloads, and adoption of scalable, secure, AI-enabled solutions.
Strong track record navigating large-scale technology transformations, including tenant-to-tenant migrations and platform shifts (e.g., migrating workflows out of Microsoft M365).
Demonstrated success modernizing legacy or manual workflows into API-driven, event-based, or agent-assisted applications.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
Experience designing and deploying AI agents or bot-driven workflows using frameworks integrated with Vertex AI, Gemini, or external LLMs.
Deep understanding of multi-step workflow orchestration, including tool use, state handling, and integration across enterprise services.
Practical experience building reliable, production-grade prompts and agent instructions with strong guardrails and failure handling.
Demonstrated experience implementing telemetry, logging, and evaluation frameworks for production AI agents.
Strong hands-on experience with GCP services such as Cloud Run, Pub/Sub, Cloud Functions, IAM, and API Gateway in event-driven designs.
Proven ability to integrate bots/agents with enterprise systems (ITSM, HR, CRM, internal APIs) using secure REST/webhook patterns.
Deep understanding of GCP IAM, OAuth2, service accounts, and enterprise access controls in multi-system integrations.
Strong proficiency in Python and/or JavaScript frameworks (Node.js, TypeScript) building production-ready backend services and integrations.
Mastery of core software engineering guardrails, including GitHub-based version control, automated testing, and structured release practices.
Proven capability to evaluate ambiguous business requests and define clear execution paths (out-of-the-box vs. custom engineering).
Strong foundational knowledge of corporate identity and access management and corporate data security policies.
History of delivering clean documentation, handover plans, and operational runbooks alongside deployed code.
Exceptional communication skills with experience running code reviews, collaborating with TPMs, and leading technical workshops.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Deep experience leveraging Vertex AI Agent Builder, LangChain, or LlamaIndex on GCP to build enterprise-grade, multi-agent systems.
Proven success migrating legacy enterprise workflows (e.g., Microsoft M365, Power Automate, SharePoint) into native GCP architectures (Cloud Run, Pub/Sub, Vertex AI).
Experience implementing advanced LLM evaluation frameworks (e.g., Vertex AI AutoSxS, Ragas) and security guardrails (e.g., NeMo Guardrails) for safe production use.
Practical experience designing complex agentic workflows with HITL validation nodes for highly regulated business processes.
Track record of building repeatable platform architecture patterns, shared code libraries, and boilerplate templates that enable federated business units to build AI workflows independently.
Demonstrated success driving cultural and technical adoption of AI tools, including training frameworks and technical enablement workshops.
Professional Google Cloud certifications such as Professional Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer (PMLE).

This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
For a California-only role , use:
Compensation: The compensation information is a good-faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Salary Range: The salary range for this role in California is $202k-$310k per year . The actual base salary offered 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.
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so 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 [email protected] 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.

Skills Required

10+ years hands-on experience in software engineering, platform architecture, or enterprise workflow automation in complex corporate environments.
Proven experience leading or contributing to GCP-based transformations, cloud migration, and modernization of enterprise workloads.
Strong track record with tenant-to-tenant migrations and migrating workflows out of Microsoft M365.
Experience modernizing legacy or manual workflows into API-driven, event-based, or agent-assisted applications.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
Experience designing and deploying AI agents or bot-driven workflows integrated with Vertex AI, Gemini, or external LLMs.
Deep understanding of multi-step workflow orchestration, tool use, state handling, and integration across enterprise services.
Practical experience building production-grade prompts and agent instructions with guardrails and failure handling.
Experience implementing telemetry, logging, and evaluation frameworks for production AI agents.
Strong hands-on experience with GCP services such as Cloud Run, Pub/Sub, Cloud Functions, IAM, and API Gateway in event-driven designs.
Proven ability to integrate bots/agents with enterprise systems (ITSM, HR, CRM, internal APIs) using secure REST/webhook patterns.
Deep understanding of GCP IAM, OAuth2, service accounts, and enterprise access controls in multi-system integrations.
Strong proficiency in Python and/or JavaScript frameworks (Node.js, TypeScript) for production backend services and integrations.
Mastery of core software engineering guardrails, including GitHub-based version control, automated testing, and structured release practices.
Proven capability to evaluate ambiguous business requests and define clear execution paths (platform vs custom engineering).
Strong foundational knowledge of corporate identity and access management and corporate data security policies.
History of delivering clean documentation, handover plans, and operational runbooks alongside deployed code.
Exceptional communication skills with experience running code reviews, collaborating with TPMs, and leading technical workshops.
Deep experience leveraging Vertex AI Agent Builder, LangChain, or LlamaIndex on GCP to build enterprise-grade, multi-agent systems.
Experience implementing advanced LLM evaluation frameworks (e.g., Vertex AI AutoSxS, Ragas) and security guardrails (e.g., NeMo Guardrails).
Practical experience designing complex agentic workflows with HITL validation nodes for regulated processes.
Track record of building repeatable platform architecture patterns, shared libraries, and boilerplate templates for federated teams.
Experience driving cultural and technical adoption of AI tools, including training frameworks and enablement workshops.
Professional Google Cloud certifications such as Professional Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer.

What the Team is Saying

General Motors Compensation & Benefits Highlights

Healthcare Strength — Health coverage is described as comprehensive, with company‑paid healthcare for many UAW‑represented hourly employees and broad medical, dental, vision, mental‑health, virtual‑care, life, and disability programs noted across groups. Supplemental unemployment benefits during downtime are also referenced for represented hourly employees.
Retirement Support — Retirement programs prominently feature a 401(k) with a 4% automatic company contribution plus up to a 6% match for eligible roles, and certain groups note pension or defined‑contribution arrangements. Retiree resources, including a VEBA trust for healthcare in specific populations, are also cited.
Parental & Family Support — Family support is emphasized through up to 12 weeks of paid family leave for salaried employees and a lifetime reimbursement benefit around $40,000 for fertility, adoption, and related family‑forming expenses via Carrot. Backup care and other caregiver supports are also highlighted in company materials.

Learn more about General Motors's Compensation & Benefits →

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The Company

HQ: Detroit, MI

165,000 Employees

Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week