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 tool contracts, context, and guardrails for grounded agent responses.
- Ensure low-latency, secure, and cost-efficient serving for interactive and batch agent workloads.
- Own monitoring and observability for graph and MCP services, including freshness, pipeline health, latency, cost, tool-call success, and answer quality.
- Instrument SLOs, dashboards, alerting, and tracing while driving incident response and reliability improvements.
- Partner with data engineers and source owners to ingest, validate, map, and troubleshoot industrial and enterprise data.
- Establish data contracts, schema validation, quality checks, governance, cataloging, and lineage.
Requirements
- At least 5 years of 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 comparable graph technologies such as 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, grounding, and model API integrations, with familiarity with MCP or comparable protocols.
- Expertise with Cloud Monitoring and 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 qualifications include Dataplex or Data Catalog familiarity, streaming or CDC and event-driven architectures, event-sourced modeling, user-facing graph applications and dashboards, relevant industrial-system 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, subsidized backup childcare, family-building benefits, adoption and surrogacy reimbursement, and fertility treatments.
- Vehicle discount program for employees and family members, management leases, and tuition assistance.
- Employee resource groups and paid time off for individual and team community service.
- Vacation, sick and personal time, and paid holidays including the period between Christmas Eve and New Year’s Day.
- Hybrid position requiring onsite work four or more days per week.
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.