Lead AI Software Engineer – Enterprise Transformation

General Motors

. Design, build, test, and support AI-enabled workflow and automation solutions across collaboration platforms, enterprise systems, and cloud-native environments .

Posted 10/6/2026full-timeUnited StatesSenior💰 $163,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-enabled workflow and automation solutions, with a strong focus on integrating complex systems and modernizing legacy processes. Proficient in Python and JavaScript, with a solid understanding of cloud-native environments and enterprise integration standards.

Highest-signal resume keywords

Workflow EngineeringAutomation EngineeringPython ProgrammingJavaScript FrameworksREST API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Workflow AutomationEvent-Driven ServicesOrchestration LogicAI IntegrationSecure IntegrationsLogging and TelemetryVersion ControlTechnical DocumentationDebuggingProcess Redesign

Soft Skills

Cross-Functional CommunicationCollaborationProblem SolvingStakeholder EngagementTechnical Discussion Participation

Tools & Technologies

Node.jsTypeScriptSaaS PlatformsCloud-Based ApplicationsEnterprise AI Platforms

Industry Keywords

Enterprise Application AutomationComplex Corporate EnvironmentAutomation PipelinesIntegration StandardsModernization Initiatives

Tech Stack

Tools & technologies

CloudITSMJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

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 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
Partner with business stakeholders, transformation leads, and product teams to identify workflow improvement opportunities
Modernize Microsoft-dependent, spreadsheet-heavy, macro-driven, or manually routed workflows into Google-aligned and cloud-native solutions
Build and support AI-assisted workflow solutions using approved enterprise AI platforms and orchestration patterns
Implement prompt logic, tool orchestration, exception handling, validation, logging, telemetry, and evaluation mechanisms
Evaluate business requests and recommend platform, configuration, low-code/no-code, or custom engineering solutions
Build reusable services, templates, reference implementations, and accelerators
Document workflow designs, technical logic, dependencies, integration points, and operational runbooks
Participate in peer reviews, design reviews, and technical discussions
Support pilot deployments, early-wave implementations, validation activities, and hypercare
Troubleshoot production issues, resolve workflow failures, and improve resiliency across connected systems
Provide delivery feedback and recommendations to improve support models, governance, and reusable platform patterns

Requirements

What you’ll need

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
Experience analyzing, redesigning, and automating complex business processes spanning multiple connected systems and stakeholder groups
Experience modernizing legacy or manual workflows into scalable, API-driven, event-based, or automation-enabled solutions
Experience supporting enterprise platform change, migration, modernization, or transformation initiatives in large organizations
Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field, or equivalent practical experience
Strong hands-on experience with Python and/or JavaScript-based tooling
Experience with REST APIs, webhooks, connectors, event-based logic, and orchestration patterns
Ability to build secure, reliable integrations across collaboration tools, SaaS platforms, and internal enterprise applications
Understanding of modern SaaS platforms, cloud-based applications, and enterprise workflow architecture patterns
Practical experience integrating AI capabilities into business workflows, automation pipelines, or enterprise tools
Familiarity with prompt design, workflow orchestration, exception handling, validation logic, and supportable AI-assisted process design
Experience implementing logging, telemetry, monitoring, or evaluation approaches for automated or AI-enabled workflows
Understanding of authentication, authorization, access-control concepts, and secure integration practices
Experience using version control, structured testing, release management practices, and debugging across multiple environments
Strong technical documentation skills
Strong cross-functional communication skills
Must not require GM immigration sponsorship now or in the future, including H-1B, TN, or STEM OPT

Benefits

Comp & perks

Relocation benefits may be available
Incentive pay program with payouts based on company performance, job level, and individual performance
GM Total Rewards and well-being resources
Reasonable workplace accommodations