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At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That's where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and software engineering skills to drive evidence-based, timely decision-making.

Position Overview
Quality Analytics is a product group within GDIA that builds cutting-edge on-premises and cloud analytics solutions. We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and autonomous agentic workflows to revolutionize how Ford manages industrial data.

This Full-Stack Software Engineer position is ideal for a technically oriented, forward-thinking individual who has experience designing, building, and deploying cloud applications, owning Google Cloud Platform (GCP) infrastructure with hands-on Terraform expertise, and who is eager to pioneer the use of Agentic AI and LLMs to solve complex industrial analytics challenges.

Minimum Requirements We Seek

• Requires a bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative/technology field.
• 4+ years of professional experience in Software Engineering.
• 3+ years of experience with modern frontend frameworks (Angular, React, or Vue).
• 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot).
• 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.
• 3+ years of hands-on experience with Google Cloud Platform (GCP)-compute, storage, networking, and IAM.
• 2+ years of experience authoring and maintaining Infrastructure as Code (IaC) via Terraform modules, including remote state management and CI/CD-driven plan/apply workflows.

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
• Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into production software applications.
• AI & Agentic Frameworks: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
• Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer); hands-on experience with Cloud Build, Tekton, multi-environment Terraform deployment, and multi-cloud architectures (Azure/AWS a plus).
• Software Craftsmanship: Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
• Agile Mindset: Comfortable working with Agile tools (Jira, Rally) in a fast-paced, continuous-delivery environment.
• Strong communication and collaboration skills, with a passion for bringing cutting-edge technology to business partners and customers.

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, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.

For a detailed look at our benefits, click here: Benefit Summary 

This position is a salary grade 8. 

This position is a salary grade 8 and ranges from $113,580-192,900.

*Visa Sponsorship is not provided for this role*

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 committed to a culturally diverse workforce. 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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Minimum Requirements We Seek

• Requires a bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative/technology field.
• 4+ years of professional experience in Software Engineering.
• 3+ years of experience with modern frontend frameworks (Angular, React, or Vue).
• 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot).
• 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.
• 3+ years of hands-on experience with Google Cloud Platform (GCP)-compute, storage, networking, and IAM.
• 2+ years of experience authoring and maintaining Infrastructure as Code (IaC) via Terraform modules, including remote state management and CI/CD-driven plan/apply workflows.

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
• Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into production software applications.
• AI & Agentic Frameworks: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
• Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer); hands-on experience with Cloud Build, Tekton, multi-environment Terraform deployment, and multi-cloud architectures (Azure/AWS a plus).
• Software Craftsmanship: Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
• Agile Mindset: Comfortable working with Agile tools (Jira, Rally) in a fast-paced, continuous-delivery environment.
• Strong communication and collaboration skills, with a passion for bringing cutting-edge technology to business partners and customers.

*Visa Sponsorship is not provided for this role*

What You'll Be Able To Do

As a Full-Stack Software Engineer on our Balanced Product Team, you will collaborate closely with Product Managers, Product Designers, and fellow engineers to own solutions end-to-end-from design and development to deployment, infrastructure management, and continuous optimization.

• AI & Agentic Solution Development: Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems to automate complex data analysis, anomaly detection, and decision-support workflows.
• Cloud Infrastructure & IaC Ownership: Design, build, and maintain Google Cloud Platform (GCP) infrastructure using Terraform-authoring reusable modules, managing environment promotion, and maintaining state management at portfolio scale.
• AI-Assisted Software Engineering: Champion the use of generative AI tools and agentic coding assistants (e.g., GitHub Copilot, custom LLM agents) to streamline the software development lifecycle, automate testing, and accelerate CI/CD pipelines.
• Product & Requirements Management: Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and automated test suites within an Agile framework.
• Technical Design & Architecture: Author comprehensive technical design documents, system architecture diagrams, and API specifications to ensure scalable, secure, and maintainable full-stack systems.
• Modern Operations & DevOps: Build robust CI/CD deployment pipelines on GCP, integrate automated security and quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation using Terraform.
• Reliability & Continuous Improvement: Drive proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability and performance of critical analytical systems.