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 analytical skills to drive evidence-based, timely decision-making.

Position Overview

Industrial Systems Analytics (ISA) is a product group that develops cutting-edge, on-premises and cloud analytic 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 Software Engineer position is ideal for a technically oriented, forward-thinking individual who has experience designing, building, and deploying cloud applications, 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 or foreign equivalent degree in computer science, information technology or a technology related 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.
• Exposure to or hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into software applications.

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
• AI & Agentic Frameworks: Proven experience working with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
• Vector Databases & Data Pipelines: Familiarity with vector databases (e.g., PGVector, Chroma, Pinecone, Milvus) and embedding techniques for semantic search and RAG.
• Software Craftsmanship: Deep understanding of software engineering disciplines inclu,ding eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
• Cloud & DevOps: Experience developing and deploying to cloud platforms (GCP, Azure, or AWS) using modern CI/CD tools (Tekton, Terraform, Jenkins, Cloud Build).
• Agile Mindset: Experience working with Agile tools (Jira, Rally) in a fast-paced, collaborative, continuous-delivery environment.
• Strong communication and collaboration skills, with a passion for leveraging cutting-edge technology to amaze and delight our 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 7 or 8.

This position is a salary grade 7 or 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.

• 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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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 deliver next-generation analytical solutions. You will be responsible for the full lifecycle of these solutions-from design and development to deployment, maintenance, and AI-driven 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.
• 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 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 solutions.
• Modern Operations & DevOps: Build robust CI/CD deployment pipelines, integrate automated security/quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation.
• Reliability & Continuous Improvement: Participate in proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability 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 deliver next-generation analytical solutions. You will be responsible for the full lifecycle of these solutions-from design and development to deployment, maintenance, and AI-driven 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.
• 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 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 solutions.
• Modern Operations & DevOps: Build robust CI/CD deployment pipelines, integrate automated security/quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation.
• Reliability & Continuous Improvement: Participate in proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability of critical analytical systems.