Lead AI Workflow Engineer - Enterprise Transformation

General Motors; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

General Motors seeks a Lead AI Workflow Engineer – Enterprise Transformation to design, build, and scale AI-enabled workflow solutions that modernize how work gets done across the company.

You will focus on eliminating manual effort, simplifying workflows, and enabling business teams to operate effectively across Google Workspace, enterprise platforms, and AI-enabled environments.

Qualifications

• 7+ years of hands-on experience in workflow engineering or related fields within a complex corporate environment.
• Proven experience redesigning and automating complex business processes across multiple systems.
• Successful modernization of legacy workflows into API-driven or event-based automation.
• Experience supporting enterprise platform change, migration, or transformation in large organizations.
• Bachelor’s degree in CS/IT/Engineering or related field, or equivalent practical experience.

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 and integrations using Python and/or JavaScript-based tooling (Node.js/TypeScript).
• Build and support event-driven services and workflow components using approved cloud-native patterns and enterprise integration standards.
• Integrate workflow solutions with ITSM, HR, CRM, documents, reporting systems, and internal APIs.
• Translate manual, fragmented, or legacy processes into scalable, reusable automation designs.
• Partner with business stakeholders to identify workflow improvements and modernization opportunities.
• Support modernization of Microsoft-dependent, spreadsheet-heavy workflows into Google-aligned and cloud-native solutions.

Skills

Workflow engineering

Automation engineering

Software engineering

Platform engineering

Enterprise automation

REST APIs

Event-driven design

Security best practices

Stakeholder communication

Education

Bachelor’s degree in CS/IT/Engineering or related field

Tools

Python

JavaScript

Node.js

TypeScript

REST APIs

Job description

The Role

As a Lead AI Workflow Engineer – 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.

Job Description

The Role

As a Lead AI Workflow Engineer – 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.

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 understand current-state pain points and identify practical workflow improvement opportunities.


• Help redesign business processes before automation so teams do not simply recreate inefficient legacy ways of working in new platforms.


• Support modernization of Microsoft-dependent, spreadsheet-heavy, macro-driven, or manually routed workflows into more durable Google-aligned and cloud-native solutions.


• Contribute to phased transition and coexistence models where legacy tools or downstream systems must temporarily remain in place during rollout.

AI enablement and intelligent orchestration

• Build and support AI-assisted workflow solutions using approved enterprise AI platforms and orchestration patterns (for example, Gemini-based capabilities and internal AI tools).


• Implement prompt logic, tool orchestration, exception handling, and validation steps for AI-enabled processes with a strong focus on reliability and supportability.


• Contribute to human-in-the-loop workflow designs where business or compliance requirements require review, approval, or validation checkpoints.


• Implement logging, telemetry, and basic evaluation mechanisms to monitor workflow health, agent performance, and operational issues.

Technical design, reuse, and standards alignment

• Evaluate incoming business requests and recommend the appropriate solution path using approved platform capabilities, configuration, low-code/no-code options, or custom engineering.


• Build reusable services, templates, reference implementations, and accelerators that help teams solve repeatable workflow problems more consistently.


• Apply enterprise platform standards, approved design patterns, and security requirements in all delivered solutions.


• Document workflow designs, technical logic, dependencies, integration points, and operational runbooks to support long-term sustainment.


• Participate in peer reviews, design reviews, and technical discussions to maintain quality, consistency, and supportability.

Cross-functional delivery and sustainment

• Work closely with TPMs, product managers, security, privacy, identity, ILM, and business stakeholders to ensure solutions are practical, compliant, and supportable.


• Support pilot deployments, early-wave implementations, validation activities, and hypercare for high-priority transformation use cases.


• Troubleshoot production issues, resolve workflow failures, and improve resiliency across connected systems and downstream dependencies.


• Provide delivery feedback and practical recommendations that help improve future support models, governance processes, and reusable platform patterns.

Your Skills & Abilities (Required Qualifications)

Core experience and education

• 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.


• Proven experience analyzing, redesigning, and automating complex business processes that span multiple connected systems and stakeholder groups.


• Demonstrated success modernizing legacy or manual workflows into more 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.

Workflow engineering and integration capability

• Strong hands-on experience building backend automations, workflow logic, integrations, and supportable technical solutions using Python and/or JavaScript-based tooling.


• Experience working with REST APIs, webhooks, connectors, event-based logic, and orchestration patterns across enterprise systems.


• Proven ability to build secure, reliable integrations across collaboration tools, SaaS platforms, and internal enterprise applications.


• Strong understanding of modern SaaS platforms, cloud-based applications, and enterprise workflow architecture patterns.

AI Workflow And Intelligent Automation Experience

• 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 in production or near-production settings.

Systems thinking, security, and delivery discipline

• Strong systems-thinking skills with the ability to trace dependencies across applications, business processes, data layers, and identity boundaries.


• Solid understanding of authentication, authorization, access-control concepts, and secure integration practices in enterprise environments.


• Experience using version control, structured testing, and release management practices, and debugging across multiple environments.


• Strong technical documentation skills, including the ability to clearly describe workflow logic, business