AI Engineer, Industrial Systems Data Platform (ISDP)

We made history and now we work to transform the future for our customers our communities and our families. Youll see your work on the road every day helping people move freely and pursue their dreams. At Ford you can build more than vehicles. Come build what matters.

Enterprise Technologyplays a critical part in shaping the future of mobility. If youre looking for the chance to leverage advanced technology to redefine the transportation landscape enhance the customer experience and improve peoples lives this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Fords 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.

Were looking for anAI Engineerto own this system end to end: design develop test anddeploy the graph layer to Production on a Google Cloud Platformnative 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 Fords next generation of engineering manufacturing quality and supply-chain agents.

Domain youll master

Fords 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.

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 graphs 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 toconsumers 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 toingest 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.

Minimum Qualifications:

• Bachelors Degree in Computer Science Information Technology or Engineering or equivalent combination of education & experience
• 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 BigQueryDataflow / Apache BeamPub/SubCloud Run / GKECloud 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 Qualifications:

• 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.

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

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 builderor 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
• Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up childcare 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
• A generous schedule of paid holidays including the week between Christmas and New Years Day
• Paid time off and the option to purchase additional vacation time.

This position is a range of salary grades 7-8 and ranges from $99600-$192900.
Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.
For more information on salary and benefits click here: sponsorship is available for this position.

Domestic relocation 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

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

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