Lead AI Software Engineer - (Enterprise Transformation)

General Motors; Michigan; On-site; USD 163,000 - 250,000; Full time

Job summary

General Motors seeks a Lead AI Software Engineer – Enterprise Transformation to design, build, and scale AI-enabled workflows across Google Workspace, enterprise platforms, and cloud-native environments. You will translate complex business needs into practical technical designs, delivering secure, reusable automations aligned with enterprise standards.

The role requires 7+ years in workflow or automation engineering, strong Python/JavaScript skills, and experience integrating with REST APIs and

Qualifications

• 7+ years of hands-on experience in workflow engineering, automation engineering, software engineering, platform engineering, or enterprise application automation within a complex, highly matrixed corporate environment.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• Experience building backend automations, workflow logic, integrations, and supportable technical solutions using Python and/or JavaScript-based tooling.

Responsibilities

• Design, build, test, and support AI-enabled workflow and automation solutions across collaboration platforms, enterprise systems, and cloud-native environments.
• Partner with business stakeholders, transformation leads, and product teams to redesign current-state processes before automation.
• Build and support AI-assisted workflow solutions with enterprise AI platforms and orchestration patterns.
• Evaluate requests and propose solution paths using approved platform capabilities, configuration, or low-code options, and create reusable templates and accelerators.

Skills

Python

JavaScript/TypeScript

REST APIs

Event-driven design

Automation

Education

Bachelor's degree in CS/IT/Engineering

Tools

Google Workspace

Job description

Job Description The Role

As a Lead AI SoftwareEngineer – Enterprise Transformation, you will design, build, and scale AI-enabled workflow and automation solutions that modernize how work gets done across General Motors. From the software and core IT side of the transformation, you will focus on eliminating manual effort, simplifying workflows, improving consistency, and enabling business teams to operate effectively across Google Workspace, enterprise platforms, and AI-enabled environments. This role is a strong fit for an experienced engineer who can independently deliver complex workflow solutions, translate business needs into practical technical designs, and build secure, reusable, and supportable automations that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to turn high-value manual processes into scalable solutions and to contribute reusable patterns that can be adopted broadly across GM.

What You’ll Do

AI workflow engineering and solution delivery

• Design, build, test, and support AI-enabled workflow and automation solutions across collaboration platforms, enterprise systems, and cloud-native environments. Develop secure backend services, scripts, integrations, and orchestration logic using Python and/or JavaScript frameworks such as Node.js and TypeScript. Build and support event-driven services and workflow components using approved cloud-native patterns and enterprise integration standards. Integrate workflow solutions with enterprise platforms such as IT service management, HR, CRM, document and content platforms, reporting systems, and internal API ecosystems. Translate manual, fragmented, or legacy processes into scalable, supportable, and reusable automation designs.

Workflow transformation and business process modernization

• Partner with business stakeholders, transformation leads, and product teams to understand current-state pain points and identify practical workflow improvement opportunities. Help redesign business processes before automation so teams do not simply recreate inefficient legacy ways of working in new platforms. Support modernization of Microsoft-dependent, spreadsheet-heavy, macro-driven, or manually routed workflows into more durable Google-aligned and cloud-native solutions. Contribute to phased transition and coexistence models where legacy tools or downstream systems must temporarily remain in place during rollout.

AI enablement and intelligent orchestration

• Build and support AI-assisted workflow solutions using approved enterprise AI platforms and orchestration patterns (for example, Gemini-based capabilities and internal AI tools). Implement prompt logic, tool orchestration, exception handling, and validation steps for AI-enabled processes with a strong focus on reliability and supportability. Contribute to human-in-the-loop workflow designs where business or compliance requirements require review, approval, or validation checkpoints. Implement logging, telemetry, and basic evaluation mechanisms to monitor workflow health, agent performance, and operational issues.

Technical design, reuse, and standards alignment

• Evaluate incoming business requests and recommend the appropriate solution path using approved platform capabilities, configuration, low-code/no-code options, or custom engineering. Build reusable services, templates, reference implementations, and accelerators that help teams solve repeatable workflow problems more consistently. Apply enterprise platform standards, approved design patterns, and security requirements in all delivered solutions. Document workflow designs, technical logic, dependencies, integration points, and operational runbooks to support long-term sustainment. Participate in peer reviews, design reviews, and technical discussions to maintain quality, consistency, and supportability.

Cross-functional delivery and sustainment

• Work closely with TPMs, product managers, security, privacy, identity, ILM, and business stakeholders to ensure solutions are practical, compliant, and supportable. Support pilot deployments, early-wave implementations, validation activities, and hypercare for high-priority transformation use cases. Troubleshoot production issues, resolve workflow failures, and improve resiliency across connected systems and downstream dependencies. Provide delivery feedback and practical recommendations that help improve future support models, governance processes, and reusable platform patterns.

Your Skills & Abilities (Required Qualifications)

Core experience and education

7+ years of hands-on experience in workflow engineering, automation engineering, software engineering, platform engineering, or enterprise application automation within a complex, highly matrixed corporate environment. Proven experience analyzing, redesigning, and automating complex business processes that span multiple connected systems and stakeholder groups. Demonstrated success modernizing legacy or manual workflows into more scalable, API-driven, event-based, or automation-enabled solutions. Experience supporting enterprise platform change, migration, modernization, or transformation initiatives in large organizations. Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Workflow engineering and integration capability

Strong hands-on experience building backend automations, workflow logic, integrations, and supportable technical solutions using Python and/or JavaScript-based tooling. Experience working with REST APIs, webhooks, connectors, event-based logic, and orchestration patterns across enterprise systems. Proven ability to build secure, reliable integrations across collaboration tools, SaaS platforms, and internal enterprise applications. Strong understanding of modern SaaS platforms, cloud-based applications, and enterprise workflow architecture patterns.

AI workflow and intelligent automation experience

Practical experience integrating AI capabilities into business workflows, automation pipelines, or enterprise tools. Familiarity with prompt design, workflow orchestration, exception handling, validation logic, and supportable AI-assisted process design. Experience implementing logging, telemetry, monitoring, or evaluation approaches for automated or AI-enabled workflows in production or near-production settings.

Systems thinking, security, and delivery discipline

Strong systems-thinking skills with the ability to trace dependencies across applications, business processes, data layers, and identity boundaries. Solid understanding of authentication, authorization, access-control concepts, and secure integration practices in enterprise environments. Experience using version control, structured testing, and release management practices, and debugging across multiple environments. Strong technical documentation skills, including the ability to clearly describe workflow logic, business rules, dependencies, and support processes. Strong cross-functional communication skills with experience working closely with product teams, TPMs, security, and business stakeholders.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with Google Workspace administration, Google Workspace APIs, Google Apps Script, AppSheet, or related Google ecosystem tooling.
• Experience modernizing or replacing legacy macros, spreadsheet-heavy processes, low-code flows, SharePoint or similar unmanaged automation patterns.
• Experience integrating AI platforms or intelligent workflow capabilities using tools such as Gemini, Glean, AskGM, Databricks, or similar enterprise platforms.
• Familiarity with cloud-native workflow components, event-driven design, and modern enterprise orchestration approaches.
• Experience supporting pilot deployments, testing, cutover planning, validation, hypercare, and sustainment in large transformation programs.
• Experience building reusable templates, shared automation components, or reference implementations that improve scale and consistency across teams.
• Google Cloud or Google Workspace-related certifications.

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, 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. 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 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.

Our Company

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

Our Culture

We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.

Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

Salary Information

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 $163k–$250k 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.