AI Engineer, Industrial Systems Data Platform (ISDP)
Ford Motor15 hours ago
Base Salary
$100k - $193k/yr
Responsibilities
- 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 Product Development, Manufacturing, Quality, and Supply Chain data sources are onboarded.
- Design, build, and operate the MCP server exposing graph queries, event-store queries, and schema/DDL discovery tools to agents.
- Define agent tool contracts, context, and guardrails to support grounded and accurate responses.
- Own monitoring and observability for data freshness, pipeline health, query latency and cost, tool-call success rates, and answer quality.
- Implement SLOs, dashboards, alerting, tracing, incident response, and reliability improvements.
- Partner with data engineers and application data source owners to ingest, map, validate, and troubleshoot enterprise data.
- Establish data contracts, schema validation, data quality checks, governance, cataloging, and lineage.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or Engineering, or an equivalent combination of education and experience.
- At least 5 years of strong software engineering experience with Java and Python, including production-grade testing and code quality practices.
- At least 3 years deploying data or AI systems to production on a GCP-native stack including Vertex AI, BigQuery, Dataflow or Apache Beam, Pub/Sub, Cloud Run or GKE, Cloud Storage, and Cloud Build or Artifact Registry.
- At least 3 years of graph data modeling and querying experience with property graphs and GQL or comparable graph query patterns.
- At least 3 years of hands-on Vertex AI experience involving agents, model serving, embeddings, and evaluation of agent answer quality.
- At least 2 years building LLM or agent systems involving tool use, RAG or grounding, model APIs, and MCP or comparable agent tool protocols.
- Experience with Cloud Monitoring, Cloud Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.
- At least 3 years of Infrastructure as Code experience with Terraform and secure-by-default engineering involving IAM, least privilege, and secrets management.
- Ability to work directly with data producers to model and validate industrial or enterprise data.
- Preferred experience with Dataplex, Data Catalog, streaming or CDC, event-driven and event-sourced architectures, user-facing graph applications, industrial domain systems, data quality frameworks, schema evolution, and zero-downtime data deployments.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup childcare.
- Family-building benefits including adoption and surrogacy reimbursement and fertility treatments.
- Vehicle discount program for employees and family members and management leases.
- Tuition assistance and active employee resource groups.
- Paid time off for community service, paid holidays including the week between Christmas and New Year’s Day, and optional additional vacation purchase.
- Hybrid work arrangement requiring onsite attendance four or more days per week.
- Domestic relocation is not available for this position.
- Visa sponsorship is available for this position.
Tech Stack
Categories
AI ApplicationsData Engineering
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.