AI Engineer - Industrial Graph & MCP on GCP

Ford; Dearborn, Northern (MI, KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Ford is hiring an AI Engineer for Enterprise Technology to own the ISDP knowledge graph end-to-end on a Google Cloud Platform stack. You will design, develop, test, and deploy the graph layer and MCP serving layer, turning industrial event data into a governed, queryable knowledge graph that powers engineering, manufacturing, quality, and supply-chain agents.

You will work with Data Engineers and application data owners to onboard data, define contracts, ensure data quality, and monitor system

Qualifications

• BS in CS/IT/Engineering or equivalent combination of education & experience.
• 5+ years of software engineering with Java and Python.
• 3+ years deploying data/AI systems to production on a GCP-native stack.

Responsibilities

• Design, develop, test, and deploy the ISDP knowledge graph from domain event store to Production.
• Build and operate the MCP server exposing the graph layer and event store.
• Ensure reliability, monitoring, and cost-efficient serving for interactive workloads.
• Collaborate with Data Engineers and Data Source Owners to onboard and validate data into ISDP.

Skills

Java

Python

CI/CD

Testing

Code quality

Education

Bachelor's degree in CS/IT/Engineering

Tools

Vertex AI

BigQuery

Dataflow / Apache Beam

Pub/Sub

Cloud Run / GKE

Cloud Storage

Artifact Registry

Job description

Ford is hiring an AI Engineer for Enterprise Technology to own the ISDP knowledge graph end-to-end on a Google Cloud Platform stack. You will design, develop, test, and deploy the graph layer and MCP serving layer, turning industrial event data into a governed, queryable knowledge graph that powers engineering, manufacturing, quality, and supply-chain agents.

You will work with Data Engineers and application data owners to onboard data, define contracts, ensure data quality, and monitor system