Senior AI Software Engineer - (Enterprise Transformation)

General Motors; Austin (TX); On-site; USD 190,000 - 230,000; Full time

Job summary

General Motors is seeking an experienced AI Platform Engineer to own the end-to-end transformation of business workflows using AI. You will design secure, reusable, enterprise-grade AI solutions that modernize how GM works and scale AI adoption across teams from intake and design to governance and sustainment.

You will collaborate with engineering, product, and business units to define platform standards, migrate legacy processes to native GCP services, and build production-grade agents with

Qualifications

• 10+ years of hands-on software engineering or platform architecture experience in complex environments.
• Proven experience with GCP-based transformations and enterprise workflow modernization.
• Experience modernizing legacy workflows into API-driven, event-based, or agent-assisted apps.
• Bachelor's degree or equivalent practical experience in CS/SE/IS.

Responsibilities

• Own end-to-end transformation of business workflows using AI.
• Design secure, reusable enterprise-grade AI solutions and define platform standards.
• Partner with engineering, product, and business teams to scale AI adoption.
• Build backend services in Python/Node.js and deploy cloud-native services on GCP.
• Develop data pipelines to migrate legacy workflows into native GCP environments.
• Implement security using IAM, OAuth2, and enterprise access controls.
• Create documentation, API specs, blueprint repos, and runbooks.
• Lead code reviews to maintain quality and architecture alignment.

Skills

AI platforms

Cloud architecture

Python

TypeScript/Node.js

GCP services

Security & IAM

Leadership

Technical communication

Code reviews

CI/CD

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Node.js

Python

TypeScript

Cloud Run

Pub/Sub

Cloud Functions

API Gateway

Vertex AI

Gemini

OAuth2

IAM

GitHub

CI/CD

Job description

Job Description

The Role

In this role, you will own the end-to-end transformation of business workflows using AI. Rather than just building prompts or standalone agents, 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, from intake and solution design through governance and long-term sustainment. You will also work directly with business teams to identify high-value workflow transformation opportunities and drive consistent AI patterns across both collaboration and enterprise AI platforms.

What You'll Do

• 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 (e.g., M365) 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.

Your Skills & Abilities (Required Qualifications)

• 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 (e.g., migrating workflows out of Microsoft M365).
• Demonstrated success modernizing legacy or manual workflows into API-driven, event-based, or agent-assisted applications.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• 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 (ITSM, HR, CRM, internal APIs) 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 (out-of-the-box vs. custom engineering).
• 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.