AI Engineer

Ford, Inc; Dearborn (MI); Híbrido; USD 100.000 - 193.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

Parental leave

Tuition assistance

Paid time off

Vehicle discount

Holidays

Descripción de la vacante

Ford is seeking an AI Engineer to own the ISDP system end to end on a Google Cloud Platform–native stack. You will design, develop, test, and deploy the graph layer and MCP-serving components that expose the knowledge graph and event store to engineers and tools.

You will collaborate with Data Engineers and Application Data Source Owners across Product Development, Manufacturing, Quality, and Supply Chain to onboard data, enforce contracts, and ensure grounded, low-latency responses.

Formación

• 5+ years of software engineering in Java and Python with production-grade testing, CI/CD and code quality practices.
• 3+ years deploying data/AI systems to Production on a GCP-native stack: Vertex AI, BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, Cloud Storage, Cloud Build/Artifact Registry.
• 3+ years of graph data modeling and querying (GQL or equivalent such as Neo4j/Spanner Graph).
• 3+ years of Vertex AI (Agents, model serving, embeddings) and evaluating agent quality.
• 2+ years building LLM/agent systems: tool-use, RAG/grounding, APIs, MCP familiarity.
• Observability expertise: Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, alerts.
• 3+ years Terraform and secure-by-default engineering (IAM, least privilege, secrets management).
• Ability to work with data producers to model industrial/enterprise data.

Responsabilidades

• Design, develop, test, and deploy the ISDP knowledge graph to Production on a Google Cloud Platform–native stack.
• Model and evolve the graph's entities and relationships as new data sources are onboarded.
• Design, build, and operate the MCP server exposing the graph layer and event store to consumers (GQL, queries, schema discovery).
• Define tool contracts, context, and guardrails so agents produce grounded, accurate, non-hallucinated responses.
• Ensure low-latency, secure, and cost-efficient serving for interactive and batch workloads.
• Collaborate with Data Engineers and Application Data Source Owners to ingest and validate data into ISDP; establish contracts and governance.

Conocimientos

Java

Python

CI/CD

Testing

Observability

Graph data modeling

GQL

Vertex AI

Embedded AI tools

Herramientas

Vertex AI

BigQuery

Dataflow / Apache Beam

Pub/Sub

Cloud Run / GKE

Cloud Storage

Terraform

Descripción del empleo

Ford's Industrial Systems Data Platform (ISDP) unifies data fromProduct Development, Manufacturing, Quality, and Supply Chainapplications into a single logical data model. We are building anAI-queryable knowledge graphover that data — a BigQuery property graph derived from a canonical domain event store — and anMCP (Model Context Protocol) serverthat lets agentsreason over it.

We're looking for anAI Engineerto own this system end to end: design, develop, test, anddeploy the graph layer to Production on a Google Cloud Platform–native stack, and build the agent-facing serving layer on top of it. You will turn raw industrial event data into a governed, traversable graph that powers Ford's next generation of engineering, manufacturing, quality, and supply‑chain agents.

Graph Layer

• Design, develop, test, and deploy the ISDP knowledge graph from the domain event store to Production using cloud-native data pipelines.
• Model and evolve the graph's entities and relationships as new data sources are onboarded.

MCP serving layer

• Design, build, and operate theMCP serverthat exposes the ISDP graph layer and event store as tools to consumers— 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.

Reliability, monitoring & observability

• Ownmonitoring and observabilityof the graph layer and the MCP server — 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.

Collaboration & data onboarding

• Partner withData EngineersandApplication Data Source Ownersacross Product Development, Manufacturing, Quality, and Supply Chain to ingest and validate their 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.

Required

• 5+ years of experience with Strong software engineering inJava, Python, with production-grade testing, CI/CD, and code quality practices.
• 3+ years of experience with Hands-on experience deploying data/AI systems to Production on aGCP-native stack:Vertex AI, BigQuery,Dataflow / Apache Beam,Pub/Sub,Cloud Run / GKE,Cloud Storage, andCloud Build / Artifact Registry.
• 3+ years of experience with graph data modelingand querying — property graphs andGQL / graph query patterns(BigQuery property graphs, or equivalent such as Neo4j/Spanner Graph).
• 3+ years of Hands-on experience with Vertex AI(Agents, model serving, embeddings) and evaluation of agent answer quality.
• 2+ years of Experience buildingLLM/agentsystems: tool-use, RAG/grounding, and integrating models via APIs (e.g., Vertex AI or enterprise LLM gateways). Familiarity withMCPor comparable agent tool protocols.
• Observabilityexpertise: Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.
• 3+ years of experience with Infrastructure as Code(Terraform) and secure-by-default engineering (IAM, least privilege, secrets management).
• Ability to work directly with data producers to model and validate real-worldindustrial/enterprise data.

Preferred

• Familiarity withDataplex / Data Catalogfor governance, lineage, and business glossaries.
• Streaming/CDC and event-driven architectures; append-only/event-sourced data modeling.
• Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users.
• Domain exposure toPLM / product development, manufacturing execution, quality, or supply-chainsystems and their data.
• Data quality frameworks, schema evolution, and blue-green/zero-downtime data deployments.

Domain you'll master

Ford's Industrial Systems and the ISDP logical data model — how Product Development, Manufacturing, Quality, and Supply Chain applications describe programs, parts, ECUs, sites/plants, suppliers/organizations, requirements, verifications, quality problems, and warranty/returns — and how those entities interconnect in the knowledge graph.

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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

This position is a salary grade 7-8 and ranges from $99,600-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid with a requirement to be onsite four or more days per week.