AI Platform Engineer

Ford Motor; Allen Park (MI); Hybrid; USD 100.000 - 167.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and prescription drug

Tuition assistance

Vehicle discount program

Paid time off

Paid holidays

Zusammenfassung

Ford Motor Company is seeking 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, backend services, APIs, platform integrations, data services, and cloud workflows.

The role combines software engineering, cloud infrastructure, data and platform integration, DevSecOps, and production operations, with opportunities to integrate ML and generative AI services into production applications.

Qualifikationen

• Bachelor’s degree in computer science, information technology or related field; equivalent experience considered.
• Master’s degree in CS/CE or related quantitative field preferred.

Aufgaben

• Design, build, test, and maintain full-stack web applications, REST APIs, and integrations for enterprise analytics and AI platforms.
• Implement AI capabilities: model serving, retrieval, data grounding, and workflow orchestration as needed.
• Design, provision, and manage GCP environments using Terraform with CI/CD-driven workflows.
• Develop data-ingestion, transformation, and service integration components across platforms.
• Collaborate with product, design, data, security, and operations teams in an Agile setting.

Kenntnisse

Software engineering

Angular

React

Vue

FastAPI

Flask

Django

Spring Boot

Python

Java

GCP

Terraform

CI/CD

Security practices

Observability

LangChain

LlamaIndex

Ausbildung

Bachelor’s degree in CS/IT or related field

Master’s degree in CS/CE or related field (preferred)

Tools

Terraform

GCP

Jobbeschreibung

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.

Qualifications

We recognize that no one person will embody every quality or skill listed below. If you’re passionate about building secure, reliable AI and analytics platforms and working across software, data, and cloud technologies, we encourage you to apply.

Education

• 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.

Experience

• 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.

Required Technical Experience

• 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.

Preferred Experience

• 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.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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.

For a detailed look at our benefits, click here: Benefit Summary

This position is a salary grade 7.

This position is a salary grade 7 and ranges from $99,600-$166,600.

*Visa Sponsorship is provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-GH2

Responsibilities

Full-Stack Platform Engineering

• Design, build, test, and maintain web applications, backend services, REST APIs, and integrations that support enterprise analytics and AI-platform use cases.
• Develop dependable interfaces between platform components and other enterprise systems.
• Translate product and platform needs into technical designs, API specifications, and implementation plans.
• Build maintainable software that supports platform reliability, usability, and ongoing development.

AI Capability Integration

• Implement approved integrations with model-serving and AI services.
• Build and maintain retrieval, data-grounding, and workflow-orchestration components where needed to meet product requirements.
• Apply appropriate evaluation, access controls, monitoring, and failure handling to AI-enabled capabilities.
• Collaborate with product and technical partners to incorporate AI capabilities into production-ready applications.

Cloud Infrastructure & Infrastructure as Code

• Design, provision, and maintain Google Cloud Platform (GCP) environments and services using Terraform.
• Develop and maintain reusable Terraform modules, environment-promotion workflows, state management, IAM, and secure configuration.
• Support repeatable, controlled infrastructure changes through CI/CD-driven plan and apply workflows.
• Contribute to cloud environments that are secure, maintainable, and suitable for enterprise use.

Data & Platform Services

• Develop data-ingestion, transformation, and service-integration components.
• Work with structured and unstructured data sources to support platform functionality.
• Help ensure reliable data flows and interfaces between platform components.

DevSecOps, Quality & Reliability

• Build and maintain CI/CD workflows that support consistent and safe deployments.
• Implement automated testing, code-quality checks, and security checks.
• Improve deployment repeatability, release safety, and software quality.
• Monitor service health, troubleshoot production issues, and conduct root-cause analysis.
• Improve application and platform performance, availability, and operational support.

Technical Design & Collaboration

• Collaborate with Product Managers, Designers, Data Scientists, Security teams, and engineers in an Agile delivery environment.
• Participate in technical design discussions and help assess implementation options and dependencies.
• Communicate technical decisions and implementation plans clearly to cross-functional partners.