AI Engineer

Ford Motor Company

. Design, develop, test, and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines .

Posted 11/5/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $99,600 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying cloud-native data pipelines and knowledge graphs, with a strong focus on graph data modeling, observability, and data governance. Proficient in software engineering practices, particularly in Java and Python, and experienced in deploying data/AI systems on GCP.

Highest-signal resume keywords

Java Software EngineeringPython Software EngineeringGCP Data/AI Systems DeploymentGraph Data Modeling and QueryingObservability Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GraphQLDataflowApache BeamVertex AITerraformCI/CDData Quality FrameworksStreaming ArchitecturesEvent-Driven ArchitecturesSchema Evolution

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

BigQueryPub/SubCloud RunGKECloud StorageCloud BuildOpenTelemetryDataplexData Catalog

Industry Keywords

Data GovernanceProduct Lifecycle ManagementManufacturing ExecutionSupply Chain SystemsData Lineage

Tech Stack

Tools & technologies

ApacheBigQueryCloudGoogle Cloud PlatformJavaPythonTerraform

About the role

Key responsibilities & impact

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 as tools, 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 of the graph layer and MCP server, including data freshness, pipeline health, query latency/cost, tool-call success rates, and answer quality
Instrument SLOs, dashboards, alerting, and tracing; drive 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 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

What you’ll need

Bachelor's Degree or equivalent
5+ years of experience with strong software engineering in Java and Python, with production-grade testing, CI/CD, and code quality practices
3+ years of experience deploying data/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 of experience with graph data modeling and querying, including property graphs and GQL / graph query patterns
3+ years of hands-on experience with Vertex AI, including agents, model serving, embeddings, and evaluation of agent answer quality
2+ years of experience building LLM/agent systems, including tool-use, RAG/grounding, and integrating models via APIs; 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 of experience with Infrastructure as Code using Terraform and secure-by-default engineering, including IAM, least privilege, and secrets management
Ability to work directly with data producers to model and validate real-world industrial/enterprise data
Familiarity with Dataplex / Data Catalog for governance, lineage, and business glossaries is preferred
Streaming/CDC and event-driven architectures; append-only/event-sourced data modeling is preferred
Experience designing and building user-facing applications and dashboards that surface Knowledge Graph data is preferred
Domain exposure to PLM / product development, manufacturing execution, quality, or supply-chain systems and their data is preferred
Experience with data quality frameworks, schema evolution, and blue-green/zero-downtime data deployments is preferred
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision, and prescription drug coverage
Paid parental leave, new parent ramp-up programs, subsidized back-up child care 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
Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day