Senior Software Engineer

Ford • ,

1d • $99,600 - $192,900 • Remote

About The Position

Ford Motor Company’s Global Data Insight & Analytics (GDIA) team supports evidence-based business decisions through data, metrics, and analytics. Within GDIA, Industrial Systems Analytics (ISA) develops on-premises and cloud analytic solutions and is modernizing its portfolio with Generative AI, Large Language Models (LLMs), and autonomous agentic workflows for industrial data management.

As a Full-Stack Software Engineer on a Balanced Product Team, you will work with Product Managers, Product Designers, and engineers to deliver analytical solutions across their full lifecycle, including design, development, deployment, maintenance, and AI-driven optimization. The role focuses on building cloud applications and applying Agentic AI and LLMs to complex industrial analytics challenges.

The role requires a bachelor’s or foreign equivalent degree in computer science, information technology, or a technology-related field, and at least four years of professional software engineering experience. The position is salary grade 7 or 8, with a stated salary range of $99,600–$192,900. Visa sponsorship is not provided; candidates must be legally authorized to work in the United States.

Requirements

• Bachelor’s degree or foreign equivalent in computer science, information technology, or a technology-related field.
• At least 4 years of professional experience in software engineering.
• At least 3 years of experience with modern frontend frameworks such as Angular, React, or Vue.
• At least 3 years of experience with backend frameworks such as FastAPI, Flask, Django, or Spring Boot.
• At least 2 years of experience with Python and/or Java; Python is highly preferred for AI and data work.
• Exposure to or hands-on experience integrating LLM APIs, such as OpenAI, Anthropic, or Vertex AI, or open-source models into software applications.

Nice To Haves

• Master’s degree in computer science, computer engineering, or a related quantitative field.
• Experience with LLM orchestration frameworks such as LangChain or LlamaIndex and multi-agent development platforms such as CrewAI, AutoGen, or Semantic Kernel.
• Familiarity with vector databases such as PGVector, Chroma, Pinecone, or Milvus, and embedding techniques for semantic search and RAG.
• Strong understanding of software engineering disciplines, including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
• Experience developing and deploying to GCP, Azure, or AWS using CI/CD tools such as Tekton, Terraform, Jenkins, or Cloud Build.
• Experience using Agile tools such as Jira or Rally in a collaborative, continuous-delivery environment.
• Strong communication and collaboration skills and enthusiasm for using emerging technology to serve business partners and customers.

Responsibilities

• Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems for data analysis, anomaly detection, and decision-support workflows.
• Promote the use of generative AI tools and agentic coding assistants to streamline software development, automate testing, and accelerate CI/CD pipelines.
• Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and test suites within an Agile framework.
• Create technical design documents, system architecture diagrams, and API specifications for scalable, secure, and maintainable solutions.
• Build CI/CD deployment pipelines, integrate automated security and quality scanning, and implement Identity & Access Management (IAM) and automated credential rotation.
• Participate in proactive problem management, root cause analysis, and incident resolution to maintain the availability of critical analytical systems.
• Contribute to solution design, development, deployment, maintenance, and AI-driven optimization across the product lifecycle.

Benefits

• Immediate medical, dental, and prescription drug coverage.
• Flexible family care, parental leave, new parent ramp-up programs, and subsidized backup childcare.
• Vehicle discount program for employees and family members, and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• 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