
Senior Software Engineer
Ford Motor Company · United States
- Hybrid
- Full-time
- $153,000 / year
- United States
Job highlights
- Develop advanced AI and LLM solutions.
- Build and deploy cloud-based analytic applications.
- Work across full software development lifecycle.
- Collaborate with cross-functional teams.
- Modernize industrial data management.
About the role
About Ford Motor 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.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.
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 including 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.
- 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.
Key skills/competency
- Senior Software Engineer
- Generative AI
- Large Language Models (LLMs)
- Cloud Applications
- Python
- Java
- Frontend Frameworks (Angular, React, Vue)
- Backend Frameworks (FastAPI, Flask, Django, Spring Boot)
- DevOps
- Agile
Skills & topics
- Senior Software Engineer
- Generative AI
- LLM
- Cloud Computing
- Python
- Java
- Full-Stack Development
- DevOps
- Agile
- Software Engineering
- Data Analytics
- Ford
- GCP
- AWS
- Azure
- FastAPI
- Flask
- Django
- Spring Boot
- Angular
- React
- Vue
How to get hired
- Tailor your resume: Highlight your experience with LLMs, cloud platforms, and modern frameworks relevant to the Senior Software Engineer role at Ford.
- Showcase AI expertise: Emphasize projects involving Generative AI, RAG pipelines, or multi-agent systems in your application.
- Demonstrate cloud and DevOps skills: Detail your experience with CI/CD, cloud platforms (GCP, Azure, AWS), and Agile methodologies.
- Prepare for technical interviews: Be ready to discuss your approach to architecting scalable, secure, and maintainable solutions.
- Network and connect: Reach out to current Ford employees on LinkedIn to gain insights into the company culture and hiring process.
Technical preparation
Practice Python and Java for AI/data tasks.,Build sample LLM applications or RAG pipelines.,Develop a project using frontend/backend frameworks.,Containerize an application and set up CI/CD.
Behavioral questions
Describe a complex problem you solved with data.,How do you collaborate with product and design?,Share an experience automating a manual process.,How do you ensure reliability in software systems?
Frequently asked questions
- What are the key technologies for the Senior Software Engineer role at Ford?
- The Senior Software Engineer role at Ford emphasizes Generative AI, Large Language Models (LLMs), cloud platforms (GCP, Azure, AWS), modern frontend (Angular, React, Vue) and backend frameworks (FastAPI, Flask, Django, Spring Boot), and programming languages like Python and Java. Experience with LLM orchestration frameworks and vector databases is highly preferred.
- What is the expected experience level for this Senior Software Engineer position at Ford?
- Ford requires at least 4 years of professional experience in Software Engineering, with specific experience in modern frontend and backend frameworks. Additionally, 2+ years of experience with Python or Java is necessary, along with exposure to LLM API integration.
- Does Ford offer visa sponsorship for the Senior Software Engineer role?
- Yes, Ford Motor Company provides visa sponsorship for this Senior Software Engineer position.
- What is the salary range for a Senior Software Engineer at Ford?
- The salary range for this Senior Software Engineer position at Ford Motor Company is $113,580 to $192,900 annually.
- What kind of projects will a Senior Software Engineer work on at Ford's Industrial Systems Analytics team?
- As a Senior Software Engineer on the Industrial Systems Analytics team, you will work on architecting and deploying LLM-powered applications, RAG pipelines, multi-agent systems, and leveraging AI for software engineering tasks like automation and testing.
- What is the work arrangement for this Senior Software Engineer position?
- While not explicitly stated, the job description implies a hybrid or on-site arrangement due to the mention of on-premises solutions and the need for collaboration within a Balanced Product Team. Further clarification from the hiring manager would be recommended.
- How does Ford Motor Company support work-life balance for its employees?
- Ford offers a comprehensive benefits package including immediate medical, dental, and prescription drug coverage, flexible family care, parental leave, tuition assistance, active employee resource groups, paid time off for community service, and a generous holiday schedule.