Senior Software Engineer

Ford Motor • Allen Park, MI

8d • $113,580 - $192,900 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
• 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).
• Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
• 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.

Responsibilities

• 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.
• Design, build, and maintain Google Cloud Platform (GCP) infrastructure using Terraform—authoring reusable modules, managing environment promotion, and maintaining state management at portfolio scale.
• 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.
• Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and automated test suites within an Agile framework.
• Author comprehensive technical design documents, system architecture diagrams, and API specifications to ensure scalable, secure, and maintainable full-stack systems.
• 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.
• Drive proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability and performance of critical analytical systems.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior