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About the Role

In this role, you will own the end-to-end transformation of business workflows using AI. You will design secure, reusable, enterprise-grade AI solutions that modernize how work gets done across GM. You will partner closely with engineering, product, and business teams to define platform standards, shape architecture, and scale AI adoption.

Responsibilities

• Write clean, scalable, and secure backend services and integrations using Python and/or JavaScript frameworks (Node.js, TypeScript).
• Build and operate cloud-native, event-driven services on GCP using Cloud Run, Pub/Sub, Cloud Functions, and API Gateway.
• Code data pipelines and integration layers to migrate legacy enterprise workflows into native GCP environments.
• Implement robust security in integrations using GCP IAM, OAuth2, service accounts, and enterprise access controls.
• Build and maintain automated testing frameworks, CI/CD pipelines (GitHub), and structured release environments.
• Engineer and deploy production-grade multi-step AI agents and bot-driven workflows integrated with Vertex AI, Gemini, and external LLMs.
• Architect and code Human-in-the-Loop (HITL) validation nodes into automated pipelines for critical business processes.
• Design, test, and optimize production prompts and agent instructions with guardrails, exception handling, and failure-recovery logic.
• Implement telemetry, structured logging, and evaluation frameworks to monitor agent performance, accuracy, and latency.
• Evaluate ambiguous business requests and author technical designs that translate them into clear execution pathways.
• Own technical intake decisions: recommend when to use platform capabilities, configuration, or custom AI solutions.
• Create reusable architecture patterns, code templates, and shared libraries that enable internal developers to scale AI workflows.
• Deliver comprehensive technical documentation, API specifications, blueprint repositories, and operational runbooks with all deployed code.
• Lead rigorous code reviews for peer engineering levels to maintain code quality, security, and architectural alignment.

Requirements

• 10+ years of hands-on experience in software engineering, platform architecture, or enterprise workflow automation in complex, highly matrixed corporate environments.
• Proven experience leading or contributing to GCP-based transformations, including cloud migration, modernization of enterprise workloads, and adoption of scalable, secure, AI-enabled solutions.
• Strong track record navigating large-scale technology transformations, including tenant-to-tenant migrations and platform shifts.
• Demonstrated success modernizing legacy or manual workflows into API-driven, event-based, or agent-assisted applications.
• Experience designing and deploying AI agents or bot-driven workflows using frameworks integrated with Vertex AI, Gemini, or external LLMs.
• Deep understanding of multi-step workflow orchestration, including tool use, state handling, and integration across enterprise services.
• Practical experience building reliable, production-grade prompts and agent instructions with strong guardrails and failure handling.
• Demonstrated experience implementing telemetry, logging, and evaluation frameworks for production AI agents.
• Strong hands-on experience with GCP services such as Cloud Run, Pub/Sub, Cloud Functions, IAM, and API Gateway in event-driven designs.
• Proven ability to integrate bots/agents with enterprise systems using secure REST/webhook patterns.
• Deep understanding of GCP IAM, OAuth2, service accounts, and enterprise access controls in multi-system integrations.
• Strong proficiency in Python and/or JavaScript frameworks (Node.js, TypeScript) building production-ready backend services and integrations.
• Mastery of core software engineering guardrails, including GitHub-based version control, automated testing, and structured release practices.
• Proven capability to evaluate ambiguous business requests and define clear execution paths.
• Strong foundational knowledge of corporate identity and access management and corporate data security policies.
• History of delivering clean documentation, handover plans, and operational runbooks alongside deployed code.
• Exceptional communication skills with experience running code reviews, collaborating with TPMs, and leading technical workshops.

Skills

• Python
• JavaScript
• Node.js
• TypeScript
• GCP
• Cloud Run
• Pub/Sub
• Cloud Functions
• API Gateway
• GCP IAM
• OAuth2
• Service Accounts
• GitHub
• Vertex AI
• Gemini
• LLMs
• REST
• Webhook
• Version Control
• Automated Testing
• CI/CD

Location

• California

Work Type

• Full-time

Experience Level

• 10+ years

Education Level

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Salary/Compensations

• $202k–$310k per year

Benefits

• Relocation benefits may be available.
• Incentive pay program offers payouts based on company performance, job level, and individual performance.
• GM supports a rewarding career that rewards you personally.

About the Company

• 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.
• We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

• General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
• All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
• General Motors offers opportunities to all job seekers including individuals with disabilities.