Software Engineer, AI Enablement
Ford Motor Company · Dearborn, MI · 1 wk ago
On-siteEngineeringFull-time
About the role
We are seeking a Senior Software Engineer to design and build AI-powered agents that enable intelligent discovery, recommendation, and management of enterprise ontology assets.
Responsibilities
- Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.
- Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.
- Design and implement scalable backend services, APIs, and AI-enabled capabilities.
- Build retrieval, ranking, and recommendation systems that support intelligent user experiences.
- Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.
- Conduct technical evaluations and proof-of-concepts for emerging AI technologies.
- Drive architecture decisions, engineering best practices, and operational excellence.
Requirements
- Bachelor's degree in computer science, Information Systems, or a related field.
- 7+ years of professional experience in Data Science or Software Engineering building scalable production systems.
- 5+ years of experience working with Python/Java/Javascript/Angular programming languages.
- Experience in building autonomous agents using agent orchestration frameworks such as LangGraph/LangChain/Google ADK or Similar Technologies.
- Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
- Experience with vector search or hybrid retrieval architectures.
- Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
- Strong problem-solving and system design skills.
- Ability to evaluate competing technical approaches and articulate tradeoffs.
- Experience working with large, complex datasets and information management systems.
Qualifications
- Even Better, you may have:
- Experience with semantic technologies, search, recommendation systems, or knowledge graphs.
- Experience working with graph databases, Graph-RAG applications.
Skills
- Strong software engineering skills.
- Practical experience applying AI techniques to solve complex information discovery, recommendation, and search challenges.
Benefits
- Immediate medical, dental, vision and prescription drug coverage.
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more.
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.
Pay
Commensurate with experience.
Schedule
Hybrid