AI Platform Engineer

Ford Motor Company

. Design, build, test, and maintain web applications, backend services, REST APIs, and integrations supporting enterprise analytics and AI-platform use cases .

Posted 10/28/2026full-timeAllen Park • Michigan • United StatesMid-LevelSenior💰 $99,600 - $166,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software development, including building and maintaining web applications, backend services, and REST APIs. Proficient in Google Cloud Platform and Terraform for infrastructure management, with strong collaboration and communication skills in an Agile environment.

Highest-signal resume keywords

Full-Stack Software DevelopmentGoogle Cloud PlatformTerraform Infrastructure as CodeModern Frontend FrameworksBackend Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaAngularReactVueFastAPIFlaskDjangoSpring BootCI/CD

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Google Cloud PlatformTerraformCI/CD WorkflowsAutomated TestingCode-Quality Checks

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Industry Keywords

REST APIsEnterprise AnalyticsAI-PlatformData-IngestionWorkflow-Orchestration

Tech Stack

Tools & technologies

AngularCloudDjangoFlaskGoogle Cloud PlatformJavaPythonReactSpringSpring BootSpringBootTerraformVue.js

About the role

Key responsibilities & impact

Design, build, test, and maintain web applications, backend services, REST APIs, and integrations supporting enterprise analytics and AI-platform use cases
Develop interfaces between platform components and enterprise systems
Translate product and platform needs into technical designs, API specifications, and implementation plans
Build and maintain integrations with model-serving and AI services
Develop retrieval, data-grounding, and workflow-orchestration components
Apply evaluation, access controls, monitoring, and failure handling to AI-enabled capabilities
Design, provision, and maintain Google Cloud Platform environments and services using Terraform
Develop reusable Terraform modules, environment-promotion workflows, state management, IAM, and secure configuration
Develop data-ingestion, transformation, and service-integration components
Build and maintain CI/CD workflows, automated tests, code-quality checks, and security checks
Monitor service health, troubleshoot production issues, and conduct root-cause analysis
Improve application and platform performance, availability, release safety, and operational support
Collaborate with Product Managers, Designers, Data Scientists, Security teams, and engineers in an Agile delivery environment
Participate in technical design discussions and communicate technical decisions and implementation plans

Requirements

What you’ll 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
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
Full-stack software development experience, including frontend applications, backend services, REST APIs, and integrations
Familiarity with CI/CD, automated testing, code-quality checks, and security practices
Understanding of production operations, including service monitoring, troubleshooting, and root-cause analysis
Strong communication and collaboration skills
Candidates must be legally authorized to work in the United States
Master’s degree in Computer Science, Computer Engineering, or a related quantitative field is preferred

Benefits

Comp & perks

Immediate medical, dental, and prescription drug coverage
Flexible family care
Parental leave
New parent ramp-up programs
Subsidized back-up child care
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Employee resource groups
Paid time off for individual and team community service
Paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time
Visa sponsorship