AI Platform Engineer
Ford Motor Company
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- Location
- Allen Park, MI
- Job type
- Full time
- Posted
- Oct 28
- Today
Career path
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About the company
Ford Motor Company
Automotive · 10,001+ employees
What you'll do
- Design, develop, and deploy software capabilities for enterprise AI and analytics platforms
- Build and operate user-facing applications, backend services and APIs
- Build platform integrations, data services, and cloud deployment workflows
- Collaborate with Product, Design, Data, Security, and Operations partners
- Integrate machine-learning and generative-AI services into production-ready applications
What you need
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Equivalent relevant experience may be considered.
- A master’s degree in Computer Science, Computer Engineering, or a related quantitative field is preferred.
- 4+ years of professional software-engineering experience.
- 3+ years of experience with a modern frontend framework, such as Angular, React, or Vue.
- 3+ years of experience with a backend framework, such as FastAPI, Flask, Django, or Spring Boot.
- 2+ years of experience with Python and/or Java.
- 3+ years of hands-on Google Cloud Platform experience, including compute, storage, networking, and IAM.
- 2+ years of experience authoring and maintaining infrastructure as code using Terraform modules, including remote state management and CI/CD-driven plan and apply workflows.
- Experience collaborating with product, design, data, security, and operations partners.
- Strong communication and collaboration skills.
- Full-stack software development, including frontend applications, backend services, REST APIs, and integrations.
- Experience with a modern frontend framework such as Angular, React, or Vue.
- Experience with a backend framework such as FastAPI, Flask, Django, or Spring Boot.
- Professional experience with Python and/or Java.
- Hands-on GCP experience across compute, storage, networking, and IAM.
- Experience developing and maintaining Terraform modules and infrastructure workflows.
- Familiarity with CI/CD, automated testing, code-quality checks, and security practices.
- Understanding of production operations, including service monitoring, troubleshooting, and root-cause analysis.
- Experience integrating LLM APIs or open-source models into software applications.
- Experience with retrieval-augmented generation (RAG), model evaluation, data grounding, or agentic workflows.
- Experience with LLM orchestration or multi-agent frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
- GCP certification or experience with cloud CI/CD tools such as Cloud Build or Tekton.
- Experience with AWS or Azure.
- Knowledge of software quality standards and practices, including clean code, automated testing, test-driven development, and pair programming.
- Experience working in Agile teams.
- Master’s degree in Computer Science, Computer Engineering, or a related quantitative field.
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
Key skills
software engineeringcloud infrastructuredata and platform integrationDevSecOpsproduction operationsmachine-learninggenerative-AIretrievalagent-based workflows
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See full description on company page, apply now
Read the full posting here
We are seeking an AI Platform Engineer to design, develop, and deploy software capabilities for Ford’s enterprise AI and analytics platforms. You’ll build and operate full-stack solutions—including user-facing applications, backend services and APIs, platform integrations, data services, and cloud deployment workflows.
This role combines software engineering, cloud infrastructure, data and platform integration, DevSecOps, and production operations. You’ll collaborate with Product, Design, Data, Security, and Operations partners to deliver secure, reliable, and maintainable platform capabilities. Where product needs call for it, you’ll integrate machine-learning and generative-AI services—including retrieval and agent-based workflows—into production-ready applications.