Enterprise AI Workflow Architect

General Motors; Austin (TX); On-site; USD 190,000 - 320,000; Full time

Job summary

General Motors seeks an experienced AI Platform Engineer to own end-to-end transformation of business workflows, building secure backend services in Python/Node.js and deploying multi-step agents on Vertex AI and other LLMs. You will design scalable architectures, implement guardrails, and drive governance across enterprise AI platforms.

The role requires strong experience with GCP services (Cloud Run, Pub/Sub, Cloud Functions, IAM) and API gateway patterns, plus a track record of modernizing

Qualifications

• 10+ years of hands-on software engineering or enterprise workflow automation experience.
• Experience designing AI-enabled enterprise platforms and secure integrations.

Responsibilities

• Own end-to-end transformation of business workflows using AI and secure backend services.
• Architect and code scalable, production-grade agents and HITL validation nodes.
• Lead code reviews, security practices, and documentation for deployed AI workloads.

Skills

Python

JavaScript

Node.js

TypeScript

GCP

Vertex AI

LangChain

LlamaIndex

CI/CD

GitHub

OAuth2

IAM

API Design

Security

Education

Bachelor’s degree in Computer Science / Software Engineering or related field

Tools

GCP

Cloud Run

Pub/Sub

Cloud Functions

API Gateway

Vertex AI

Job description

General Motors seeks an experienced AI Platform Engineer to own end-to-end transformation of business workflows, building secure backend services in Python/Node.js and deploying multi-step agents on Vertex AI and other LLMs. You will design scalable architectures, implement guardrails, and drive governance across enterprise AI platforms.

The role requires strong experience with GCP services (Cloud Run, Pub/Sub, Cloud Functions, IAM) and API gateway patterns, plus a track record of modernizing