AI Engineer - Industrial Knowledge Graph on GCP

Ford Motor Company

Dearborn (MI)

Hybrid

USD 100,000 - 193,000

Full time

10 days ago
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Benefits offered by this job

Medical, dental, vision coverage
Paid time off
Vehicle discount program

Job summary

Ford Motor Company is seeking an experienced software engineer to design, develop, and deploy the ISDP graph layer on a Google Cloud Platform-native stack. You will also operate an MCP server exposing the graph and event store, enabling grounded, non-hallucinated agent responses through GQL queries and embeddings.

The role requires 5+ years in Java and Python, 3+ years in GCP-native data/AI production deployments, and hands-on work with Vertex AI, BigQuery, Dataflow, and graph tech.

Qualifications

  • 5+ years of strong software engineering in Java and Python with production-grade testing and CI/CD.
  • 3+ years deploying data/AI systems on a GCP-native stack including Vertex AI, BigQuery, Dataflow/Beam, Pub/Sub, Cloud Run/GKE, Storage, Build/Artifact Registry.
  • 3+ years graph data modeling and querying with GQL, Neo4j or Spanner Graph.
  • 2+ years building LLM/agent systems with tool-use, grounding, and MCP-like protocols.
  • Observability expertise with Cloud Monitoring/Logging and OpenTelemetry; SLOs and dashboards.
  • 3+ years Infrastructure as Code (Terraform) and secure-by-default IAM and secrets.
  • Ability to work with data producers to model real-world industrial data.

Responsibilities

  • Own the graph layer end-to-end from design to Production on a GCP-native stack.
  • Develop the MCP server exposing the graph and event store to consumers.
  • Model and evolve graph entities as new data sources are onboarded.
  • Build and operate tooling contracts, guardrails, and guardrails for grounded agent responses.
  • Ensure low-latency, secure, and cost-efficient serving for interactive and batch workloads.
  • Own monitoring, observability, dashboards, alerts, and incident response for reliability.

Skills

Java
Python
GCP-native
Graph data modeling
LLM/agent systems
Terraform
Observability
CI/CD
OpenTelemetry

Education

Bachelor’s Degree in Computer Science, IT, or Engineering

Tools

Vertex AI
BigQuery
Dataflow
Apache Beam
Pub/Sub
Cloud Run
GKE
Cloud Storage
Cloud Build
Artifact Registry
GQL
Neo4j
Spanner Graph
OpenTelemetry
Terraform
IAM

Job description

Ford Motor Company is seeking an experienced software engineer to design, develop, and deploy the ISDP graph layer on a Google Cloud Platform-native stack. You will also operate an MCP server exposing the graph and event store, enabling grounded, non-hallucinated agent responses through GQL queries and embeddings.

The role requires 5+ years in Java and Python, 3+ years in GCP-native data/AI production deployments, and hands-on work with Vertex AI, BigQuery, Dataflow, and graph tech.

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