AI-Powered Full Stack Engineer — Agent Orchestration & Cloud

Ford; Dearborn (MI); On-site; USD 85,400 - 192,000; Full time

Job summary

Ford is seeking an AI engineering leader to orchestrate agents and build AI-powered applications at scale on Google Cloud Platform. You will design, deploy, and operate cloud-native systems, while connecting enterprise services and automating repetitive tasks.

The role emphasizes architecting robust workflows, shipping production-ready solutions, and enabling other engineers with reliable tools and guardrails. Strong data, AI, and cloud experience are essential.

Qualifications

• BS in Computer Science, Electrical Engineering, or a related field; MS is a plus, not a substitute for shipping software.
• 2+ years building and deploying full-stack applications in production.
• 2+ years on cloud-native platforms (GCP preferred).
• Demonstrable experience building AI agents or applications—show us what you've built, not what you've read.

Responsibilities

• Orchestrate agents to build AI-powered solutions and RAG pipelines.
• Design and ship AI-powered applications and agent workflows, evaluating performance and production readiness.
• Ship cloud-native systems on GCP; own architecture, IaC, and CI/CD pipelines.

Skills

Python

JavaScript/TypeScript

AI engineering

AI-assisted development

GCP

Databases

APIs & microservices

Git & CI/CD

IaC

Education

BS in Computer Science or Electrical Engineering

MS degree preferred

Tools

Terraform

Cloud Build

GKE

BigQuery

Cloud Functions

Job description

Ford is seeking an AI engineering leader to orchestrate agents and build AI-powered applications at scale on Google Cloud Platform. You will design, deploy, and operate cloud-native systems, while connecting enterprise services and automating repetitive tasks.

The role emphasizes architecting robust workflows, shipping production-ready solutions, and enabling other engineers with reliable tools and guardrails. Strong data, AI, and cloud experience are essential.