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HomeCompaniesEfds Fa Em5 Oraclecloud Com CX 1AI-Accelerated Full Stack Software Development Engineer

AI-Accelerated Full Stack Software Development Engineer

Efds Fa Em5 Oraclecloud Com CX 1 · Dearborn, MI, United States; Rotunda Center, Dearborn, MI, US · Hybrid · Active · $99,600–$192,900 / day · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEfds Fa Em5 Oraclecloud Com CX 1
TitleAI-Accelerated Full Stack Software Development Engineer
Normalized title-
Department / teamEnterprise Technology
LocationDearborn, MI, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$99,600–$192,900 / day
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-28 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Efds Fa Em5 Oraclecloud Com CX 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Dearborn.Open
Department jobsActive postings in Enterprise Technology.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEfds Fa Em5 Oraclecloud Com CX 1
Sourced8110a61-5510-417b-a74c-f58816339c6b
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description 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. The VSSE (Vehicle Software and Systems Engineering) team is advancing Ford’s use of artificial intelligence across vehicle engineering and product development. We are looking for a Full Stack Engineer who can use AI to accelerate software delivery across the full Software Development Lifecycle (SDLC), from requirements analysis and solution design to development, testing, deployment, monitoring, and continuous improvement. In this role, you will design, build, and maintain secure and scalable web applications using Angular and cloud-native services on Google Cloud Platform (GCP). You will apply AI-assisted development practices to improve productivity, code quality, test coverage, documentation, and delivery speed while helping transform early-stage AI prototypes into secure, production-ready enterprise applications. The ideal candidate is a hands-on engineer with strong full stack development skills, practical experience using AI coding assistants and generative AI tools, and the ability to build modern, reliable applications that serve Ford engineering teams at scale. Responsibilities 1. Full Stack Application Development Design, develop, test, and maintain full stack web applications using Angular, modern backend services, APIs, and cloud-native technologies on GCP. Build responsive, intuitive, and performant user interfaces that simplify complex engineering workflows. Develop backend services, RESTful APIs, data integrations, and reusable components to support AI-enabled applications. Integrate applications with enterprise data sources, authentication systems, engineering tools, and AI services. Ensure applications are secure, scalable, reliable, observable, and maintainable in production environments. Participate in architecture reviews, technical design discussions, code reviews, and production readiness assessments. 2. AI-Accelerated Software Development Across the SDLC Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews. Apply AI to support requirements analysis, user story refinement, acceptance criteria generation, design exploration, and technical documentation. Leverage AI to generate and improve unit tests, integration tests, end-to-end tests, regression tests, and test data. Use AI-assisted approaches for defect triage, log analysis, root-cause investigation, and production support. Identify opportunities to automate repetitive SDLC activities and improve developer productivity. Promote responsible and secure use of AI tools while protecting Ford data, intellectual property, and enterprise standards. 3. Cloud-Native Engineering on GCP Build, deploy, and support applications using Google Cloud Platform services and cloud-native architecture patterns. Work with GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable. Support CI/CD pipelines, automated testing, containerization, infrastructure automation, and environment management. Collaborate with DevSecOps and platform teams to improve deployment reliability, scalability, performance, and observability. Apply cloud security best practices, including identity and access management, secrets management, network controls, and data protection. 4. AI Tool and Platform Integration Help build and enhance AI-enabled applications that support Ford Product Development teams across electrical, software, and vehicle systems domains. Integrate applications with LLMs, AI APIs, retrieval systems, vector databases, enterprise knowledge sources, and workflow automation tools. Contribute to reusable AI platform capabilities such as prompt templates, AI service wrappers, evaluation workflows, telemetry, and feedback loops. Support low-code or self-service AI capabilities that allow technical and non-technical users to create guided workflows or AI-assisted solutions. Explore and apply emerging AI development patterns, including retrieval-augmented generation, agentic workflows, Model Context Protocol, and Agent-to-Agent integration where appropriate. 5. Agile Collaboration and Delivery Work closely with product owners, designers, data scientists, software engineers, DevOps engineers, and business stakeholders. Translate user needs and product requirements into high-quality technical solutions. Contribute to backlog refinement, sprint planning, estimation, demos, retrospectives, and delivery planning. Use metrics, telemetry, and user feedback to improve application performance, usability, adoption, and business impact. Share knowledge with the team on AI-assisted engineering practices, reusable development patterns, and full stack best practices. Qualifications Minimum Qualifications: Bachelor’s Degree in Computer Science, Software Engineering, Engineering, Information Systems, or a related technical field. 7+ years of professional software development experience. 7+ years of experience building modern web applications using Angular, TypeScript, HTML, CSS/SCSS, and modern frontend engineering practices. Experience developing backend services, APIs, and integrations using one or more languages or frameworks such as Node.js, Java, Python, Spring Boot, NestJS, Express, or similar. Hands-on experience with Google Cloud Platform or equivalent cloud platform. Practical experience using AI coding assistants, generative AI tools, or LLM-based development workflows to accelerate software delivery. Understanding of how AI can support the SDLC, including requirements analysis, coding, testing, documentation, debugging, deployment, and operational support. Experience with REST APIs, authentication/authorization patterns, secure coding practices, and enterprise application integration. Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile software development practices. Ability to write clean, maintainable, well-tested code and troubleshoot complex full stack issues. Strong communication and collaboration skills with the ability to work across technical and non-technical teams. Preferred Qualifications Experience deploying applications using GCP services such as Cloud Run, GKE, Cloud Functions, App Engine, Cloud Build, Artifact Registry, Cloud Storage, BigQuery, Pub/Sub, Firestore, Cloud SQL, Secret Manager, or Cloud Monitoring. Experience with Angular architecture patterns, RxJS, NgRx or other state management approaches, design systems, accessibility, and frontend performance optimization. Experience building AI-enabled applications using LLM APIs, embeddings, vector search, retrieval-augmented generation, prompt engineering, or agentic workflows. Experience integrating AI capabilities into internal tools, developer platforms, workflow automation, or engineering productivity applications. Experience with unit testing, component testing, API testing, and end-to-end testing using tools such as Jasmine, Karma, Jest, Cypress, Playwright, JUnit, PyTest, or similar. Experience with containerization and deployment tools such as Docker, Kubernetes, GKE, Terraform, or similar. Familiarity with observability tools, application monitoring, logging, tracing, and production support practices. Familiarity with Model Context Protocol, Agent-to-Agent communication, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration technologies. Automotive, embedded systems, vehicle software, electrical architecture, hardware signals, or product development experience. Experience working in regulated or enterprise environments with strong security, privacy, data governance, and compliance requirements. Desired Technical Skills Frontend: Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries Backend: Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, microservices Cloud: Google Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore DevOps: Git, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, automated deployments AI/LLM: AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows Engineering Practices: Agile, secure coding, API design, observability, documentation, production support 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 range of salary grades 7-8 and ranges from $99,600-$192,900. 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 available for this position. Domestic relocation 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. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-PW1 Organization We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves. Company At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

Full job record

Job ID3865b610a01c4e2df55f644ffbd791c7b41a0788
Org IDfc791186-3bfa-4e9d-8648-0d2f6f66937d
Source IDd8110a61-5510-417b-a74c-f58816339c6b
Board IDd8110a61-5510-417b-a74c-f58816339c6b
Provideroracle_hcm
Provider Job Key64118
TitleAI-Accelerated Full Stack Software Development Engineer
Normalized Title
Statusactive
Activeyes
Location TextDearborn, MI, United States; Rotunda Center, Dearborn, MI, US
DepartmentEnterprise Technology
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMI
CityDearborn
Salary RawDescription 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. The VSSE (Vehicle Software and Systems Engineering) team is advancing Ford’s use of artificial intelligence across vehicle engineering and product development. We are looking for a Full Stack Engineer who can use AI to accelerate software delivery across the full Software Development Lifecycle (SDLC), from requirements analysis and solution design to development, testing, deployment, monitoring, and continuous improvement. In this role, you will design, build, and maintain secure and scalable web applications using Angular and cloud-native services on Google Cloud Platform (GCP). You will apply AI-assisted development practices to improve productivity, code quality, test coverage, documentation, and delivery speed while helping transform early-stage AI prototypes into secure, production-ready enterprise applications. The ideal candidate is a hands-on engineer with strong full stack development skills, practical experience using AI coding assistants and generative AI tools, and the ability to build modern, reliable applications that serve Ford engineering teams at scale. Responsibilities 1. Full Stack Application Development Design, develop, test, and maintain full stack web applications using Angular, modern backend services, APIs, and cloud-native technologies on GCP. Build responsive, intuitive, and performant user interfaces that simplify complex engineering workflows. Develop backend services, RESTful APIs, data integrations, and reusable components to support AI-enabled applications. Integrate applications with enterprise data sources, authentication systems, engineering tools, and AI services. Ensure applications are secure, scalable, reliable, observable, and maintainable in production environments. Participate in architecture reviews, technical design discussions, code reviews, and production readiness assessments. 2. AI-Accelerated Software Development Across the SDLC Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews. Apply AI to support requirements analysis, user story refinement, acceptance criteria generation, design exploration, and technical documentation. Leverage AI to generate and improve unit tests, integration tests, end-to-end tests, regression tests, and test data. Use AI-assisted approaches for defect triage, log analysis, root-cause investigation, and production support. Identify opportunities to automate repetitive SDLC activities and improve developer productivity. Promote responsible and secure use of AI tools while protecting Ford data, intellectual property, and enterprise standards. 3. Cloud-Native Engineering on GCP Build, deploy, and support applications using Google Cloud Platform services and cloud-native architecture patterns. Work with GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable. Support CI/CD pipelines, automated testing, containerization, infrastructure automation, and environment management. Collaborate with DevSecOps and platform teams to improve deployment reliability, scalability, performance, and observability. Apply cloud security best practices, including identity and access management, secrets management, network controls, and data protection. 4. AI Tool and Platform Integration Help build and enhance AI-enabled applications that support Ford Product Development teams across electrical, software, and vehicle systems domains. Integrate applications with LLMs, AI APIs, retrieval systems, vector databases, enterprise knowledge sources, and workflow automation tools. Contribute to reusable AI platform capabilities such as prompt templates, AI service wrappers, evaluation workflows, telemetry, and feedback loops. Support low-code or self-service AI capabilities that allow technical and non-technical users to create guided workflows or AI-assisted solutions. Explore and apply emerging AI development patterns, including retrieval-augmented generation, agentic workflows, Model Context Protocol, and Agent-to-Agent integration where appropriate. 5. Agile Collaboration and Delivery Work closely with product owners, designers, data scientists, software engineers, DevOps engineers, and business stakeholders. Translate user needs and product requirements into high-quality technical solutions. Contribute to backlog refinement, sprint planning, estimation, demos, retrospectives, and delivery planning. Use metrics, telemetry, and user feedback to improve application performance, usability, adoption, and business impact. Share knowledge with the team on AI-assisted engineering practices, reusable development patterns, and full stack best practices. Qualifications Minimum Qualifications: Bachelor’s Degree in Computer Science, Software Engineering, Engineering, Information Systems, or a related technical field. 7+ years of professional software development experience. 7+ years of experience building modern web applications using Angular, TypeScript, HTML, CSS/SCSS, and modern frontend engineering practices. Experience developing backend services, APIs, and integrations using one or more languages or frameworks such as Node.js, Java, Python, Spring Boot, NestJS, Express, or similar. Hands-on experience with Google Cloud Platform or equivalent cloud platform. Practical experience using AI coding assistants, generative AI tools, or LLM-based development workflows to accelerate software delivery. Understanding of how AI can support the SDLC, including requirements analysis, coding, testing, documentation, debugging, deployment, and operational support. Experience with REST APIs, authentication/authorization patterns, secure coding practices, and enterprise application integration. Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile software development practices. Ability to write clean, maintainable, well-tested code and troubleshoot complex full stack issues. Strong communication and collaboration skills with the ability to work across technical and non-technical teams. Preferred Qualifications Experience deploying applications using GCP services such as Cloud Run, GKE, Cloud Functions, App Engine, Cloud Build, Artifact Registry, Cloud Storage, BigQuery, Pub/Sub, Firestore, Cloud SQL, Secret Manager, or Cloud Monitoring. Experience with Angular architecture patterns, RxJS, NgRx or other state management approaches, design systems, accessibility, and frontend performance optimization. Experience building AI-enabled applications using LLM APIs, embeddings, vector search, retrieval-augmented generation, prompt engineering, or agentic workflows. Experience integrating AI capabilities into internal tools, developer platforms, workflow automation, or engineering productivity applications. Experience with unit testing, component testing, API testing, and end-to-end testing using tools such as Jasmine, Karma, Jest, Cypress, Playwright, JUnit, PyTest, or similar. Experience with containerization and deployment tools such as Docker, Kubernetes, GKE, Terraform, or similar. Familiarity with observability tools, application monitoring, logging, tracing, and production support practices. Familiarity with Model Context Protocol, Agent-to-Agent communication, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration technologies. Automotive, embedded systems, vehicle software, electrical architecture, hardware signals, or product development experience. Experience working in regulated or enterprise environments with strong security, privacy, data governance, and compliance requirements. Desired Technical Skills Frontend: Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries Backend: Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, microservices Cloud: Google Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore DevOps: Git, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, automated deployments AI/LLM: AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows Engineering Practices: Agile, secure coding, API design, observability, documentation, production support 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 range of salary grades 7-8 and ranges from $99,600-$192,900. 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 available for this position. Domestic relocation 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. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-PW1 Organization We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves. Company At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.
Salary Min99,600
Salary Max192,900
Salary CurrencyUSD
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Source URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64118
Apply URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64118
First Seen At2026-05-31 18:12:15Z
Last Seen At2026-06-06 11:48:38Z
Last Checked At2026-06-06 11:48:38Z
Last Changed At2026-06-06 11:48:38Z
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Source Posted At2026-05-28 20:51:04Z
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    "ExternalQualificationsStr": "<p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Minimum Qualifications:</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Bachelor’s Degree in Computer Science, Software Engineering, Engineering, Information Systems, or a related technical field.</li><li style=\"line-height: normal; margin-bottom: 0in;\">7+ years of professional software development experience.</li><li style=\"line-height: normal; margin-bottom: 0in;\">7+ years of experience building modern web applications using Angular, TypeScript, HTML, CSS/SCSS, and modern frontend engineering practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience developing backend services, APIs, and integrations using one or more languages or frameworks such as Node.js, Java, Python, Spring Boot, NestJS, Express, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Hands-on experience with Google Cloud Platform or equivalent cloud platform.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Practical experience using AI coding assistants, generative AI tools, or LLM-based development workflows to accelerate software delivery.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Understanding of how AI can support the SDLC, including requirements analysis, coding, testing, documentation, debugging, deployment, and operational support.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with REST APIs, authentication/authorization patterns, secure coding practices, and enterprise application integration.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile software development practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ability to write clean, maintainable, well-tested code and troubleshoot complex full stack issues.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Strong communication and collaboration skills with the ability to work across technical and non-technical teams.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Preferred Qualifications</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Experience deploying applications using GCP services such as Cloud Run, GKE, Cloud Functions, App Engine, Cloud Build, Artifact Registry, Cloud Storage, BigQuery, Pub/Sub, Firestore, Cloud SQL, Secret Manager, or Cloud Monitoring.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with Angular architecture patterns, RxJS, NgRx or other state management approaches, design systems, accessibility, and frontend performance optimization.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience building AI-enabled applications using LLM APIs, embeddings, vector search, retrieval-augmented generation, prompt engineering, or agentic workflows.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience integrating AI capabilities into internal tools, developer platforms, workflow automation, or engineering productivity applications.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with unit testing, component testing, API testing, and end-to-end testing using tools such as Jasmine, Karma, Jest, Cypress, Playwright, JUnit, PyTest, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with containerization and deployment tools such as Docker, Kubernetes, GKE, Terraform, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Familiarity with observability tools, application monitoring, logging, tracing, and production support practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Familiarity with Model Context Protocol, Agent-to-Agent communication, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration technologies.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Automotive, embedded systems, vehicle software, electrical architecture, hardware signals, or product development experience.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience working in regulated or enterprise environments with strong security, privacy, data governance, and compliance requirements.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Desired Technical Skills</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Frontend:</strong> Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Backend:</strong> Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, microservices</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Cloud:</strong> Google Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>DevOps:</strong> Git, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, automated deployments</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>AI/LLM:</strong> AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows</li><li style=\"line-height: normal; margin-bottom: 0in;\"><p><strong>Engineering Practices:</strong> Agile, secure coding, API design, observability, documentation, production support</p><p>&nbsp;</p></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">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!<br><br>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:</p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Immediate medical, dental, vision and prescription drug coverage</li><li style=\"line-height: normal; margin-bottom: 0in;\">Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more</li><li style=\"line-height: normal; margin-bottom: 0in;\">Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li><li style=\"line-height: normal; margin-bottom: 0in;\">Vehicle discount program for employees and family members and management leases</li><li style=\"line-height: normal; margin-bottom: 0in;\">Tuition assistance</li><li style=\"line-height: normal; margin-bottom: 0in;\">Established and active employee resource groups</li><li style=\"line-height: normal; margin-bottom: 0in;\">Paid time off for individual and team community service</li><li style=\"line-height: normal; margin-bottom: 0in;\">A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li><li style=\"line-height: normal; margin-bottom: 0in;\">Paid time off and the option to purchase additional vacation time.</li></ul><p>&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">This position is a range of salary grades 7-8 and ranges from $99,600-$192,900.&nbsp;&nbsp;&nbsp;&nbsp;<br><strong>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</strong><br>For more information on salary and benefits, click here:&nbsp;<a href=\"https://urldefense.com/v3/__https:/fordcareers.co/GSR__;!!N_LtwI-RPugbI9wg0dJn!DlwLyBCwIsZRgFC3EmyIhlSnsEEfgzR5HfxMBvs3vDqSstQ8QEmeFEzBCCZyiy7C23NYax7GqBDyglKFig$\" title=\"https://urldefense.com/v3/__https://fordcareers.co/GSR__;!!N_LtwI-RPugbI9wg0dJn!DlwLyBCwIsZRgFC3EmyIhlSnsEEfgzR5HfxMBvs3vDqSstQ8QEmeFEzBCCZyiy7C23NYax7GqBDyglKFig$\">https://fordcareers.co/GSR</a></p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Visa sponsorship is available for this position.</strong></p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Domestic relocation is not available for this position.</strong></p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">#LI-Hybrid</p><p style=\"line-height: normal; margin-bottom: 0in;\">#LI-PW1&nbsp;</p>",
    "InternalQualificationsStr": "<p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Minimum Qualifications:</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Bachelor’s Degree in Computer Science, Software Engineering, Engineering, Information Systems, or a related technical field.</li><li style=\"line-height: normal; margin-bottom: 0in;\">7+ years of professional software development experience.</li><li style=\"line-height: normal; margin-bottom: 0in;\">7+ years of experience building modern web applications using Angular, TypeScript, HTML, CSS/SCSS, and modern frontend engineering practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience developing backend services, APIs, and integrations using one or more languages or frameworks such as Node.js, Java, Python, Spring Boot, NestJS, Express, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Hands-on experience with Google Cloud Platform or equivalent cloud platform.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Practical experience using AI coding assistants, generative AI tools, or LLM-based development workflows to accelerate software delivery.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Understanding of how AI can support the SDLC, including requirements analysis, coding, testing, documentation, debugging, deployment, and operational support.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with REST APIs, authentication/authorization patterns, secure coding practices, and enterprise application integration.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile software development practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ability to write clean, maintainable, well-tested code and troubleshoot complex full stack issues.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Strong communication and collaboration skills with the ability to work across technical and non-technical teams.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Preferred Qualifications</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Experience deploying applications using GCP services such as Cloud Run, GKE, Cloud Functions, App Engine, Cloud Build, Artifact Registry, Cloud Storage, BigQuery, Pub/Sub, Firestore, Cloud SQL, Secret Manager, or Cloud Monitoring.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with Angular architecture patterns, RxJS, NgRx or other state management approaches, design systems, accessibility, and frontend performance optimization.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience building AI-enabled applications using LLM APIs, embeddings, vector search, retrieval-augmented generation, prompt engineering, or agentic workflows.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience integrating AI capabilities into internal tools, developer platforms, workflow automation, or engineering productivity applications.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with unit testing, component testing, API testing, and end-to-end testing using tools such as Jasmine, Karma, Jest, Cypress, Playwright, JUnit, PyTest, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with containerization and deployment tools such as Docker, Kubernetes, GKE, Terraform, or similar.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Familiarity with observability tools, application monitoring, logging, tracing, and production support practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Familiarity with Model Context Protocol, Agent-to-Agent communication, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration technologies.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Automotive, embedded systems, vehicle software, electrical architecture, hardware signals, or product development experience.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience working in regulated or enterprise environments with strong security, privacy, data governance, and compliance requirements.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Desired Technical Skills</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Frontend:</strong> Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Backend:</strong> Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, microservices</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>Cloud:</strong> Google Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>DevOps:</strong> Git, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, automated deployments</li><li style=\"line-height: normal; margin-bottom: 0in;\"><strong>AI/LLM:</strong> AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflows</li><li style=\"line-height: normal; margin-bottom: 0in;\"><p><strong>Engineering Practices:</strong> Agile, secure coding, API design, observability, documentation, production support</p><p>&nbsp;</p></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">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!<br><br>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:</p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Immediate medical, dental, vision and prescription drug coverage</li><li style=\"line-height: normal; margin-bottom: 0in;\">Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more</li><li style=\"line-height: normal; margin-bottom: 0in;\">Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li><li style=\"line-height: normal; margin-bottom: 0in;\">Vehicle discount program for employees and family members and management leases</li><li style=\"line-height: normal; margin-bottom: 0in;\">Tuition assistance</li><li style=\"line-height: normal; margin-bottom: 0in;\">Established and active employee resource groups</li><li style=\"line-height: normal; margin-bottom: 0in;\">Paid time off for individual and team community service</li><li style=\"line-height: normal; margin-bottom: 0in;\">A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li><li style=\"line-height: normal; margin-bottom: 0in;\">Paid time off and the option to purchase additional vacation time.</li></ul><p>&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">This position is a range of salary grades 7-8 and ranges from $99,600-$192,900.&nbsp;&nbsp;&nbsp;&nbsp;<br><strong>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</strong><br>For more information on salary and benefits, click here:&nbsp;<a href=\"https://urldefense.com/v3/__https:/fordcareers.co/GSR__;!!N_LtwI-RPugbI9wg0dJn!DlwLyBCwIsZRgFC3EmyIhlSnsEEfgzR5HfxMBvs3vDqSstQ8QEmeFEzBCCZyiy7C23NYax7GqBDyglKFig$\" title=\"https://urldefense.com/v3/__https://fordcareers.co/GSR__;!!N_LtwI-RPugbI9wg0dJn!DlwLyBCwIsZRgFC3EmyIhlSnsEEfgzR5HfxMBvs3vDqSstQ8QEmeFEzBCCZyiy7C23NYax7GqBDyglKFig$\">https://fordcareers.co/GSR</a></p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Visa sponsorship is available for this position.</strong></p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Domestic relocation is not available for this position.</strong></p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">#LI-Hybrid</p><p style=\"line-height: normal; margin-bottom: 0in;\">#LI-PW1&nbsp;</p>",
    "OrganizationDescriptionStr": "We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.",
    "primaryLocationCoordinates": [
      {
        "Latitude": "42.32207",
        "Longitude": "-83.17629",
        "CountryCode": "US",
        "GeographyId": 300000009182319,
        "GeographyNodeId": 100036559723376
      }
    ],
    "ExternalResponsibilitiesStr": "<p style=\"line-height: normal; margin-bottom: 0in;\"><strong>1. Full Stack Application Development</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Design, develop, test, and maintain full stack web applications using Angular, modern backend services, APIs, and cloud-native technologies on GCP.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Build responsive, intuitive, and performant user interfaces that simplify complex engineering workflows.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Develop backend services, RESTful APIs, data integrations, and reusable components to support AI-enabled applications.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Integrate applications with enterprise data sources, authentication systems, engineering tools, and AI services.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ensure applications are secure, scalable, reliable, observable, and maintainable in production environments.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Participate in architecture reviews, technical design discussions, code reviews, and production readiness assessments.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>2. AI-Accelerated Software Development Across the SDLC</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Apply AI to support requirements analysis, user story refinement, acceptance criteria generation, design exploration, and technical documentation.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Leverage AI to generate and improve unit tests, integration tests, end-to-end tests, regression tests, and test data.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Use AI-assisted approaches for defect triage, log analysis, root-cause investigation, and production support.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Identify opportunities to automate repetitive SDLC activities and improve developer productivity.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Promote responsible and secure use of AI tools while protecting Ford data, intellectual property, and enterprise standards.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>3. Cloud-Native Engineering on GCP</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Build, deploy, and support applications using Google Cloud Platform services and cloud-native architecture patterns.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Work with GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support CI/CD pipelines, automated testing, containerization, infrastructure automation, and environment management.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Collaborate with DevSecOps and platform teams to improve deployment reliability, scalability, performance, and observability.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Apply cloud security best practices, including identity and access management, secrets management, network controls, and data protection.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>4. AI Tool and Platform Integration</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Help build and enhance AI-enabled applications that support Ford Product Development teams across electrical, software, and vehicle systems domains.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Integrate applications with LLMs, AI APIs, retrieval systems, vector databases, enterprise knowledge sources, and workflow automation tools.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Contribute to reusable AI platform capabilities such as prompt templates, AI service wrappers, evaluation workflows, telemetry, and feedback loops.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support low-code or self-service AI capabilities that allow technical and non-technical users to create guided workflows or AI-assisted solutions.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Explore and apply emerging AI development patterns, including retrieval-augmented generation, agentic workflows, Model Context Protocol, and Agent-to-Agent integration where appropriate.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>5. Agile Collaboration and Delivery</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Work closely with product owners, designers, data scientists, software engineers, DevOps engineers, and business stakeholders.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Translate user needs and product requirements into high-quality technical solutions.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Contribute to backlog refinement, sprint planning, estimation, demos, retrospectives, and delivery planning.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Use metrics, telemetry, and user feedback to improve application performance, usability, adoption, and business impact.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Share knowledge with the team on AI-assisted engineering practices, reusable development patterns, and full stack best practices.</li></ul>",
    "InternalResponsibilitiesStr": "<p style=\"line-height: normal; margin-bottom: 0in;\"><strong>1. Full Stack Application Development</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Design, develop, test, and maintain full stack web applications using Angular, modern backend services, APIs, and cloud-native technologies on GCP.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Build responsive, intuitive, and performant user interfaces that simplify complex engineering workflows.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Develop backend services, RESTful APIs, data integrations, and reusable components to support AI-enabled applications.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Integrate applications with enterprise data sources, authentication systems, engineering tools, and AI services.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ensure applications are secure, scalable, reliable, observable, and maintainable in production environments.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Participate in architecture reviews, technical design discussions, code reviews, and production readiness assessments.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>2. AI-Accelerated Software Development Across the SDLC</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Apply AI to support requirements analysis, user story refinement, acceptance criteria generation, design exploration, and technical documentation.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Leverage AI to generate and improve unit tests, integration tests, end-to-end tests, regression tests, and test data.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Use AI-assisted approaches for defect triage, log analysis, root-cause investigation, and production support.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Identify opportunities to automate repetitive SDLC activities and improve developer productivity.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Promote responsible and secure use of AI tools while protecting Ford data, intellectual property, and enterprise standards.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>3. Cloud-Native Engineering on GCP</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Build, deploy, and support applications using Google Cloud Platform services and cloud-native architecture patterns.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Work with GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support CI/CD pipelines, automated testing, containerization, infrastructure automation, and environment management.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Collaborate with DevSecOps and platform teams to improve deployment reliability, scalability, performance, and observability.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Apply cloud security best practices, including identity and access management, secrets management, network controls, and data protection.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>4. AI Tool and Platform Integration</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Help build and enhance AI-enabled applications that support Ford Product Development teams across electrical, software, and vehicle systems domains.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Integrate applications with LLMs, AI APIs, retrieval systems, vector databases, enterprise knowledge sources, and workflow automation tools.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Contribute to reusable AI platform capabilities such as prompt templates, AI service wrappers, evaluation workflows, telemetry, and feedback loops.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support low-code or self-service AI capabilities that allow technical and non-technical users to create guided workflows or AI-assisted solutions.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Explore and apply emerging AI development patterns, including retrieval-augmented generation, agentic workflows, Model Context Protocol, and Agent-to-Agent integration where appropriate.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>5. 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