Senior AI & Full Stack Engineer

Ford Motor Company

Senior engineer developing AI, search, and GEO capabilities for Ford’s From the Road publication platform. Building AEM, Java/Python, React, API, cloud, and CI/CD solutions for intelligent content experiences.

Posted 8/5/2026full-timeRemote • Arizona • 🇺🇸 United StatesSenior💰 $99,600 - $166,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building enterprise taxonomies, knowledge graphs, and AI pipelines, with a strong focus on integrating AI capabilities into content management systems. Proficient in developing scalable backend services, REST/GraphQL APIs, and implementing CI/CD pipelines in cloud environments.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceJava and/or Python ProficiencyReact Web DevelopmentCI/CD Pipeline DevelopmentAI/ML Application Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise Taxonomy DevelopmentKnowledge Graph IntegrationSchema Generation with JSON-LDBackend AI Pipeline DesignREST API DevelopmentGraphQL API DevelopmentAutomated Testing FrameworksGenerative Engine OptimizationTerraform Infrastructure as CodeCloud-Native Architecture

Soft Skills

Cross-Functional Technical LeadershipProblem-Solving Skills

Tools & Technologies

AEMGitHub ActionsJenkinsGoogle Cloud TechnologiesDevSecOps Compliance

Certifications & Qualifications

Master's Degree or Equivalent

Industry Keywords

AI/ML ApplicationsLLMsRAG ArchitecturesAgile MethodologiesOperational Readiness

Tech Stack

Tools & technologies

AEMCloudGraphQLJavaJenkinsMicroservicesPythonReactTerraform

About the role

Key responsibilities & impact

Build enterprise taxonomies, entity models, and knowledge graphs integrated with AEM to convert static pages into structured, reusable content
Develop dynamic schema-generation systems using JSON-LD and Schema.org for automated content tagging and search-engine crawling
Design backend AI pipelines using LLMs and RAG to generate article summaries, key facts, and FAQs
Implement automated testing and evaluation frameworks for LLM retrieval accuracy, answer quality, and grounding
Execute Generative Engine Optimization and technical SEO strategies for visibility across conversational AI platforms and search engines
Develop scalable backend services and REST/GraphQL APIs using Java or Python
Build and maintain secure microservices and integration layers supporting AI-powered experiences
Develop frontend features and components using React
Integrate AI capabilities into AEM content repositories, metadata enrichment, AI search retrieval, and authoring workflows
Develop CI/CD pipelines using GitHub Actions or Jenkins
Implement Terraform Infrastructure as Code for scalable AI platforms using Google Cloud technologies
Support observability, monitoring, operational readiness, and DevSecOps compliance
Build AEM and React features, resolve technical issues, and maintain the From the Road application
Partner with stakeholders, UX/UI designers, and product managers to deliver scalable solutions
Participate in agile ceremonies including stand-ups, sprint planning, retrospectives, and backlog refinement

Requirements

What you’ll need

10+ years of professional software engineering experience in full-stack or backend development
Hands-on experience building and deploying production-grade AI/ML applications, particularly with LLMs and RAG architectures
High proficiency in Java and/or Python
Strong hands-on experience building web interfaces and components using React
Experience designing, building, and integrating high-performance, secure REST and GraphQL APIs
Practical experience with modern DevOps practices, CI/CD pipelines such as GitHub Actions or Jenkins, and cloud-native architecture
Excellent system design and problem-solving skills
Cross-functional technical leadership skills
Master's Degree or equivalent
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
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
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