Team: Industrial Systems Data Platform · Source: jobright · Posted by joined-scrapper
About the role
Ford Pro is hiring an AI Engineer to build and operate a governed knowledge graph and agent-facing MCP serving layer for industrial systems data on Google Cloud. The role focuses on turning industrial event data into production-ready graph services that support secure, reliable agent access across engineering, manufacturing, quality, and supply chain.
What you’ll do
Build and operate the Industrial Systems Data Platform knowledge graph
Develop the agent-facing MCP serving layer
Turn industrial event data into a governed production graph on Google Cloud
Support reliable and secure agent access to data
Design user-facing applications and dashboards for knowledge graph data
Work with data producers to model and validate industrial data
What you’ll need
5+ years of software engineering in Java and Python
3+ years deploying data/AI systems on GCP-native stack
3+ years of graph data modeling and GQL/graph query experience
3+ years hands-on with Vertex AI agents, model serving, embeddings, and evaluation
2+ years building LLM/agent systems with tool-use, RAG/grounding, and API integration
3+ years with Terraform and secure-by-default engineering
Original job description
Ford Motor Company is hiring an AI Engineer to build and operate its Industrial Systems Data Platform knowledge graph and agent-facing MCP serving layer. The role turns industrial event data into a governed, production-ready graph on Google Cloud and supports reliable, secure agent access to data across engineering, manufacturing, quality, and supply chain.…