Senior AI Workflow Architect

General Motors

Warren (MI)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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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

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

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