AI-Accelerated Full Stack Software Development Engineer

We made history and now we work to transform the future for our customers our communities and our families. Youll 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 Technologyplays a critical part in shaping the future of mobility. If youre looking for the chance to leverage advanced technology to redefine the transportation landscape enhance the customer experience and improve peoples 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 Fords 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.

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.

Minimum Qualifications:

• Bachelors 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 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: 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 weve 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 builderor 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 Years 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 $99600-$192900.
Final determination of salary grade will be based on candidates 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: 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

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.

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