AI Engineer, Industrial Systems Data Platform (ISDP)

Responsibilities

• Own the system end to end: design, develop, test, and deploy the graph layer to Production on a GCP-native stack, and build the agent-facing serving layer on top of it.
• Design, develop, test, and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines.
• Model and evolve graph entities and relationships as new data sources are onboarded.
• Design, build, and operate the MCP server exposing the ISDP graph layer and event store, including GQL graph query, event-store query, and schema/DDL discovery.
• Define tool contracts, context, and guardrails so agents produce grounded, accurate, non-hallucinated responses over the graph.
• Ensure low-latency, secure, and cost-efficient serving for interactive and batch agent workloads.
• Own monitoring and observability for the graph layer and MCP server: data freshness, pipeline health, query latency and cost, tool-call success rates, and answer quality.
• Instrument SLOs, dashboards, alerting, and tracing; lead incident response and continuous reliability improvements.
• Partner with Data Engineers and Application Data Source Owners across Product Development, Manufacturing, Quality, and Supply Chain to ingest and validate their data into ISDP.
• Establish data contracts, schema validation, and quality checks; support source owners through onboarding, mapping to the ISDP logical model, and troubleshooting.
• Contribute to data governance, cataloging, and lineage for the graph and its sources.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or Engineering, or an equivalent combination of education and experience.
• 5+ years of strong software engineering in Java and Python, with production-grade testing, CI/CD, and code quality practices.
• 3+ years hands-on deploying data and AI systems to Production on a GCP-native stack: Vertex AI, BigQuery, Dataflow / Apache Beam, Pub/Sub, Cloud Run / GKE, Cloud Storage, and Cloud Build / Artifact Registry.
• 3+ years hands-on graph data modeling and querying, including property graphs and GQL / graph query patterns (BigQuery property graphs or equivalents such as Neo4j / Spanner Graph).
• 3+ years hands-on experience with Vertex AI (Agents, model serving, embeddings) and evaluation of agent answer quality.
• 2+ years building LLM and agent systems: tool-use, RAG/grounding, integrating models via APIs (for example Vertex AI or enterprise LLM gateways). Familiarity with MCP or comparable agent tool protocols.
• Observability expertise: Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.
• 3+ years experience with Infrastructure as Code using Terraform, and secure-by-default engineering (IAM, least privilege, secrets management).
• Ability to work directly with data producers to model and validate real-world industrial or enterprise data.

Technologies

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

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare, 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.
• Paid time off and the option to purchase additional vacation time.

Work Arrangement

• Job Type: Full time
• Work Type: Hybrid
• Hybrid with a requirement to be onsite four or more days per week
• #LI-Hybrid
• #LI-PW1

Salary Range

Range of salary grades 7-8: $99,600-$192,900 per year. Final base salary is set within the applicable range based on skills, experience, job scope, responsibility, and competitive market value.

Additional Information

• Visa sponsorship is available.
• Domestic relocation is not available.
• Authorization to work in the United States is required at the time of hire.
• Equal Opportunity Employer.
• Reasonable accommodation for the online application process due to a disability: 1-888-336-0660.

Domain You’ll Master

Ford’s Industrial Systems and the ISDP logical data model, including how Product Development, Manufacturing, Quality, and Supply Chain applications describe programs, parts, ECUs, sites/plants, suppliers/organizations, requirements, verifications, quality problems, and warranty/returns, and how those entities interconnect in the knowledge graph.