Lead AI Software Engineer - (Enterprise Transformation)

General Motors; Warren (MI); On-site; USD 150,000 - 190,000; Full time

Job summary

General Motors in the United States is seeking a Lead AI Software Engineer - Enterprise Transformation to design, build, and scale AI-enabled workflow solutions that modernize how work gets done across GM. You will partner with product, engineering, security, and business stakeholders to translate needs into practical designs and reusable automations that align with enterprise standards.

This role emphasizes secure, reusable patterns, cross-platform integration, and scalable automation across

Qualifications

• 7+ years of hands-on experience in workflow engineering and automation.
• Experience analyzing, redesigning, and automating complex business processes across multiple systems.

Responsibilities

• Design, build, test, and support AI-enabled workflow and automation solutions across platforms and cloud-native environments.
• Develop secure backend services, scripts, integrations, and orchestration logic using Python and JavaScript/Node.js/TypeScript.
• Build and support event-driven services and workflow components using approved patterns and standards.
• Integrate workflow solutions with enterprise platforms (ITSM, HR, CRM, document/content, and APIs).
• Translate manual or legacy processes into scalable, reusable automation designs.

Skills

Workflow engineering

Automation engineering

Software engineering

Platform engineering

Enterprise automation

Tools

Python

JavaScript

Node.js

TypeScript

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