Senior AI & Full Stack Engineer, Corporate Communications

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Ford Motor Company is seeking a Senior AI & Full Stack Engineer within our Corporate Communications team to shape the next generation of intelligent content experiences. In this role, you will have full-stack responsibility for our online publication application, From the Road (FTR), built on Adobe Experience Manager (AEM).

You will bridge the gap between web experiences and advanced AI—integrating Generative AI (GenAI), AI-powered search, and Generative Engine Optimization (GEO) capabilities directly into the FTR platform. To establish a deep understanding of our application architecture, you will also actively contribute to core, day-to-day full-stack web development. You will partner closely with cloud architects, AEM platform engineers, and product designers to deliver scalable, AI-first content architectures.

1\. AI, GenAI & GEO Engineering

• Build enterprise taxonomies, entity models, and knowledge graphs integrated with AEM to convert static pages into structured, reusable content.
• Develop dynamic schema-generation systems (JSON-LD, Schema.org) to automate content tagging and maximize search engine crawling.
• Design backend AI pipelines using LLMs and RAG to automatically generate article summaries, key facts, and FAQs from editorial content.
• Implement automated testing and evaluation frameworks to measure LLM retrieval accuracy, answer quality, and grounding before production release.
• Execute Generative Engine Optimization (GEO) and technical SEO strategies to optimize content visibility across conversational AI platforms and search engines.

2\. Full-Stack & API Development

• Develop robust, scalable backend services and REST/GraphQL APIs using Java or Python.
• Build and maintain high-performance, secure microservices and integration layers supporting AI-powered experiences.
• Develop frontend features and components using React, successfully bridging data from modern AI middleware to the web experience.

3\. Enterprise Platform Integration (AEM Ecosystem)

• Partner with enterprise AEM engineering teams to integrate AI capabilities into content repositories, enabling automated metadata enrichment, AI search retrieval, and authoring workflows.

4\. DevOps & Cloud Engineering

• Develop and maintain CI/CD pipelines using enterprise-standard tools (e.g., GitHub Actions, Jenkins).
• Implement Infrastructure as Code (Terraform) to deploy scalable AI platforms powered by Google Cloud technologies.
• Support observability, monitoring, operational readiness, and DevSecOps compliance for all deployed AI services.

5\. Core Application Development & Agile Execution

• Standard Feature Development: Leverage AEM and React to build scalable features and resolve technical issues, ensuring the day-to-day stability and evolution of the From the Road application.
• Domain Familiarization: Actively contribute to standard application features and bug fixes to build deep, hands-on domain knowledge of the platform's codebase and editorial workflows.
• Cross-Functional Collaboration: Partner closely with business stakeholders, UX/UI designers, and product managers to translate requirements into robust, user-focused, and scalable solutions.
• Agile Integration: Actively participate in all agile ceremonies including daily stand-ups, sprint planning, retrospectives, and backlog refinement to design, develop, and deliver feature implementations within sprint commitments.

Minimum Qualifications:

• 10+ years of professional software engineering experience in full-stack or backend development.
• Production AI Experience: Hands-on experience building and deploying production-grade AI/ML applications, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
• Strong Programming Foundations: High proficiency in Java (the native backend language of our CMS) and/or Python.
• Modern Frontend Experience: Strong, hands-on experience building web interfaces and components using React.
• Enterprise API Design: Demonstrated experience designing, building, and integrating high-performance, secure APIs (REST and GraphQL) to seamlessly bridge decoupled enterprise services.
• DevOps & CI/CD: Practical experience with modern DevOps practices, CI/CD pipelines (e.g., GitHub Actions, Jenkins), and cloud-native architecture.
• Strong Systems Thinker: Excellent system design, problem-solving, and cross-functional technical leadership skills.

Preferred Qualifications

• Familiarity with Adobe Experience Manager (AEM) or other enterprise Content Management Systems (CMS).
• Experience with semantic search, knowledge graphs, or content intelligence systems.
• Hands-on experience with prompt engineering and LLM evaluation frameworks.
• Familiarity with Google Cloud Platform (GCP) or similar enterprise cloud ecosystems.
• Exposure to enterprise digital communications or managing large-scale content platforms

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, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.

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

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

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. 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.

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