Senior AI & Full Stack Engineer

🔥 0 minutes ago

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $99.6k - $166.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• 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

• 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

• 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