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.

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.

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., Git Hub 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 & Dev Ops: 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.

• 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.

• 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., Lang Chain, Llama Index) and multi-agent development platforms (e.g., CrewAI, Auto Gen, Semantic Kernel).
• Vector Databases & Data Pipelines: Familiarity with vector databases (e.g., PGVector, Chroma, Pinecone, Milvus) and embedding techniques for…