AI Engineer
Ford Motor3 days ago
Dearborn, MI, USASenior
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.
- Design, build, and operate the MCP server exposing graph, event-store, and schema/DDL discovery tools.
- Define agent tool contracts, context, and guardrails for grounded responses.
- 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, and drive incident response and reliability improvements.
- Partner with data engineers and application data source owners to ingest, validate, map, and troubleshoot industrial enterprise data.
- Establish data contracts, schema validation, data-quality checks, governance, cataloging, and lineage.
Requirements
- 5+ years of strong software engineering experience with Java and Python, including production-grade testing, CI/CD, and code-quality practices.
- 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.
- 3+ years of graph data modeling and querying experience with property graphs and GQL or equivalent graph-query patterns.
- 3+ years of hands-on Vertex AI experience involving agents, model serving, embeddings, and evaluation of agent answer quality.
- 2+ years building LLM or agent systems involving tool use, RAG or grounding, model APIs, and MCP or comparable agent-tool protocols.
- Expertise with Cloud Monitoring or Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.
- 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 real-world industrial or enterprise data.
- Preferred qualifications include Dataplex or Data Catalog familiarity, streaming or CDC and event-driven architectures, event-sourced modeling, user-facing applications and dashboards, relevant industrial domain exposure, data-quality frameworks, schema evolution, and blue-green or zero-downtime data deployments.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- 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 programs for employees and family members and management leases.
- Tuition assistance and active employee resource groups.
- Paid time off for individual and team community service, vacation, sick or personal time, and paid holidays including the period between Christmas Eve and New Year’s Day.
- Hybrid work arrangement requiring onsite attendance four or more days per week.
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.