AI-Driven Full-Stack Architect | GCP & Automation

Ford

Dearborn (MI)

Hybrid

USD 85,000 - 192,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
Dental & vision
Vehicle discount program
Tuition assistance
Paid time off

Job summary

Ford is seeking a proactive AI engineer to orchestrate agents and build production-ready AI-powered applications on GCP. You will design scalable pipelines, integrate enterprise SaaS systems, and own CI/CD and IaC practices in a large, security-conscious environment.

Demonstrated experience with Python, JavaScript/TypeScript, AI agents, and cloud-native architectures is essential; relocation is supported and a comprehensive benefits package is offered.

Qualifications

  • BS in Computer Science, Electrical Engineering, or a related field.
  • 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 systems and workflows.
  • Design and ship AI-powered applications and agents — RAG pipelines, LLM integrations, agentic workflows.
  • Ship cloud-native systems on GCP with IaC, CI/CD, and robust deployment practices.
  • Connect systems across enterprise SaaS platforms with resilient integration layers.
  • Automate repetitive tasks by coding or directing agents.
  • Enhance developer productivity by building tools and guardrails.

Skills

Python
JavaScript/TypeScript
AI engineering
AI-assisted development
GCP
Databases
APIs & microservices
Git
IaC & CI/CD

Education

BS in Computer Science, Electrical Engineering, or related field
MS is a plus

Tools

Terraform
Cloud Build
GKE
BigQuery
Cloud Storage
Cloud Run
Cloud Functions

Job description

Ford is seeking a proactive AI engineer to orchestrate agents and build production-ready AI-powered applications on GCP. You will design scalable pipelines, integrate enterprise SaaS systems, and own CI/CD and IaC practices in a large, security-conscious environment.

Demonstrated experience with Python, JavaScript/TypeScript, AI agents, and cloud-native architectures is essential; relocation is supported and a comprehensive benefits package is offered.

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