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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Ford Motor Company - **Location:** Allen Park, MI, United States - **Experience:** Experienced - **Salary:** $99,600.0 - $166,600.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Software Quality, Computer Engineering, Continuous Integration, Data as a Services, Django Web Framework, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Pair Programming, Software Maintenance, Software Engineering, Software Systems, Data Streaming, Systems Integration, Web Applications, Openapi, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Data Ingestion, LangChain, ReactJS, Flask (Web Framework), Delivery Pipeline, Open-source Models, Large Language Models, Multi-Agent Systems, Spring-boot, Model Validation, Llamaindex, Generative AI, Build Server, Backend, Fastapi, Vue.js, AI Platforms, AngularJS, Information Technology, CrewAI, AutoGen, Enterprise Integration, Machine Learning Operations, Front End Software Development, Restful APIs, Terraform, Semantic Kernel, Devsecops - **Published:** October 29, 2026 - **Apply:** https://www.careerjet.com/job/us868e04232cb4d07e198f73231f2c3d2c/eaa ## About the Role * 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. 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. ## Description 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. 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.