Lead AI Workflow Engineer for Enterprise Automation

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

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