Senior Software Engineer

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.

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.

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.

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.