Lead AI Software Engineer - (Enterprise Transformation)

About this role

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 ...