AI Engineer, Industrial Systems Data Platform (ISDP)
Ford Motor5 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 data sources are onboarded.
- Build and operate the MCP server exposing graph queries, event-store queries, and schema/DDL discovery to agent consumers.
- Define tool contracts, context, and guardrails for grounded and accurate agent responses.
- Ensure low-latency, secure, and cost-efficient serving for interactive and batch agent workloads.
- Own monitoring and observability for data freshness, pipeline health, query latency and cost, tool-call success rates, and answer quality.
- Instrument SLOs, dashboards, alerting, and tracing while driving incident response and reliability improvements.
- Partner with data engineers and application data source owners to ingest, validate, map, and troubleshoot industrial data.
- Establish data contracts, schema validation, quality checks, 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.
- At least 5 years of strong software engineering experience with Java and Python, including production-grade testing, CI/CD, and code quality practices.
- At least 3 years deploying data and 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 graph query patterns, such as BigQuery property graphs, Neo4j, or Spanner Graph.
- 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, and model API integration, with familiarity with MCP or comparable agent tool protocols.
- Expertise with Cloud Monitoring and 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 qualifications include Dataplex or Data Catalog, streaming and CDC, event-driven or event-sourced architectures, user-facing graph applications and dashboards, relevant industrial systems exposure, data quality frameworks, schema evolution, and blue-green or 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, subsidized backup childcare, adoption and surrogacy reimbursement, and fertility benefits.
- Vehicle discount programs 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, paid time off, and the option to purchase additional vacation time.
- Hybrid work arrangement requiring onsite attendance four or more days per week.
- Domestic relocation is not available for this position.
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.