AI Platform Engineer: Full-Stack, Cloud & MLOps

Lincoln Motor Company; Allen Park (MI); On-site; USD 100,000 - 167,000; Full time

Benefits offered by this job

Medical, dental, and prescription drug

Vehicle discount program

Tuition assistance

Paid time off and holidays

Employee resource groups

Job summary

Ford Motor Company seeks an AI Platform Engineer to design, develop, and deploy software for enterprise AI and analytics platforms. You will build full-stack solutions—including web apps, APIs, platform integrations, data services, and cloud workflows.

You will collaborate across product, design, data, security, and operations to deliver secure, reliable platform capabilities, integrating ML/AI services into production-ready apps as needed.

Qualifications

• Requires strong software engineering background with enterprise-scale delivery.
• Experience with modern frontend and backend frameworks is essential.
• Hands-on GCP experience across compute, storage, networking, IAM.
• Proficiency in Terraform and CI/CD-driven infrastructure workflows.

Responsibilities

• Design, develop, and deploy full-stack platform capabilities and APIs.
• Integrate AI services and ensure secure, reliable platform operations.
• Develop Terraform modules and CI/CD workflows for cloud environments.
• Collaborate with product, design, data, security, and operations teams.

Skills

4+ years software-engineering

Frontend framework (Angular/React/Vue)

Backend framework (FastAPI/Flask/Djang

Python or Java

GCP experience (Compute/Storage/ IAM)

Terraform / IaC

CI/CD & automation

Education

Bachelor's degree in CS/IT or related field

Master's degree in CS/Engineering (preferred)

Equivalent relevant experience considered

Tools

Angular/React/Vue

FastAPI/Flask/Django/Spring Boot

Python/Java

Google Cloud Platform (GCP)

Terraform

Job description

Ford Motor Company seeks an AI Platform Engineer to design, develop, and deploy software for enterprise AI and analytics platforms. You will build full-stack solutions—including web apps, APIs, platform integrations, data services, and cloud workflows.

You will collaborate across product, design, data, security, and operations to deliver secure, reliable platform capabilities, integrating ML/AI services into production-ready apps as needed.