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Senior Software Engineer

Read straight from Ford's careers page, verified 3d ago.Seekless can tailor your résumé to it.
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Before you apply
LocationUnited States
Work moderemote
Typefull-time
SenioritySenior
DepartmentGlobal Data Insight & Analytics (GDIA)
Company size10,000+ people
First seenOct 30, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Experience designing, building, and deploying cloud applications
Eager to pioneer the use of Agentic AI and LLMs to solve complex industrial analytics challenges
Skills
Generative AI
Large Language Models (LLMs)
cloud applications
Agentic AI
About the company
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.