General Motors · New York
Software Engineering
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 rules, dependencies, and support processes.
Strong cross-functional communication skills with experience working closely with product teams, TPMs, security, and business stakeholders.
Experience with Google Workspace administration, Google Workspace APIs, Google Apps Script, AppSheet, or related Google ecosystem tooling.
Experience modernizing or replacing legacy macros, spreadsheet-heavy processes, low-code flows, SharePoint or similar unmanaged automation patterns.
Experience integrating AI platforms or intelligent workflow capabilities using tools such as Gemini, Glean, AskGM, Databricks, or similar enterprise platforms.
Familiarity with cloud-native workflow components, event-driven design, and modern enterprise orchestration approaches.
Experience supporting pilot deployments, testing, cutover planning, validation, hypercare, and sustainment in large transformation programs.
Experience building reusable templates, shared automation components, or reference implementations that improve scale and consistency across teams.
Google Cloud or Google Workspace-related certifications.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
For a California-only role, use:
Compensation: The compensation information is a good-faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Salary Range: The salary range for this role in California is $163k–$250k per year. The actual base salary offered will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.




About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
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