Lead AI Software Engineer - (Enterprise Transformation)
General Motors1 day ago
Warren, MI, USA +2 moreStaff+
Base Salary
$163k - $250k/yr
Responsibilities
- 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 JavaScript-based tooling.
- Build event-driven workflow components and integrate solutions with IT service management, HR, CRM, content, reporting, SaaS, and internal API systems.
- Analyze and redesign manual, spreadsheet-heavy, macro-driven, or legacy business processes into scalable and reusable automations.
- Implement prompt logic, tool orchestration, exception handling, validation, human-in-the-loop controls, logging, telemetry, and evaluation mechanisms for AI-enabled workflows.
- Evaluate whether requests should use platform capabilities, configuration, low-code/no-code options, or custom engineering.
- Create reusable services, templates, accelerators, reference implementations, technical documentation, and operational runbooks.
- Partner with product, technical program management, security, privacy, identity, and business stakeholders on transformation initiatives.
- Support pilots, deployments, validation, cutover, hypercare, production troubleshooting, and resiliency improvements.
Requirements
- 7+ years of hands-on experience in workflow engineering, automation engineering, software engineering, platform engineering, or enterprise application automation in a complex corporate environment.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- Experience analyzing, redesigning, and automating complex business processes across multiple systems and stakeholder groups.
- Experience modernizing legacy or manual workflows into API-driven, event-based, or automation-enabled solutions and supporting enterprise transformation initiatives.
- Strong hands-on experience with Python and/or JavaScript-based tooling, backend automation, workflow logic, integrations, webhooks, connectors, and orchestration patterns.
- Experience integrating AI capabilities into business workflows and familiarity with prompt design, exception handling, validation, and supportable AI-assisted process design.
- Experience with logging, telemetry, monitoring, or evaluation for automated or AI-enabled workflows in production or near-production environments.
- Understanding of authentication, authorization, access control, secure integration practices, SaaS platforms, cloud applications, version control, testing, and release management.
- Strong systems-thinking, technical documentation, debugging, and cross-functional communication skills.
- Preferred experience includes Google Workspace administration and APIs, Google Apps Script, AppSheet, legacy macro or SharePoint modernization, Gemini, Glean, AskGM, Databricks, cloud-native workflow components, pilot deployments, cutover planning, hypercare, reusable automation components, and Google Cloud or Google Workspace certifications.
Benefits
- The job may be eligible for relocation benefits.
- GM provides benefits and Total Rewards resources from day one to support employee well-being at work and at home.
- The role is not eligible for GM immigration-related sponsorship, including H-1B, TN, or STEM OPT sponsorship, now or in the future.
Tech Stack
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.