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. You'll 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 Technology plays a critical part in shaping the future of mobility.

If you’re looking for the chance to leverage advanced technology to redefine the

transportation landscape, enhance the customer experience and improve people’s

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.

Ford's Industrial Systems Data Platform (ISDP) unifies data from Product

Development, Manufacturing, Quality, and Supply Chain applications into a single

logical data model. We are building an AI-queryable knowledge graph over that

data — a BigQuery property graph derived from a canonical domain event store —

and an MCP (Model Context Protocol) server that lets agents reason over it.

We're looking for an AI Engineer to own this system end to end: design, develop,

test, and deploy 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.

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.

RESPONSIBILITIES

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 the MCP server that 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

* Own monitoring and observability of 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 with Data Engineers and Application Data Source Owners across 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.

QUALIFICATIONS

Minimum Qualifications

• * Bachelor's Degree in Computer Science, Information Technology, or Engineering
• or equivalent combination of education & experience
• * 5+ years of experience with Strong software engineering in Java, 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 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 — property
• graphs and GQL / 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 building LLM/agent systems: tool-use, RAG/grounding,
• and integrating models via APIs (e.g., Vertex AI or enterprise LLM gateways).
• 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 (Terraform) and
• secure-by-default engineering (IAM, least privilege, secrets management).
• * Ability to work directly with data producers to model and validate
• real-world industrial/enterprise data.

Preferred Qualifications

• * Familiarity with Dataplex / Data Catalog for 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 to PLM / product development, manufacturing execution,
• quality, or supply-chain systems 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 we've 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 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
• * 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 Year’s 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
• $99,600-$192,900.
• Final determination of salary grade will be based on candidate's skills and
• experience, and base salary will be set within the applicable range according to
• job scope, responsibility and competitive market value.
• For more information on salary and benefits, click
• here: https://fordcareers.co/GSR
• [https://urldefense.com/v3/__https:/fordcareers.co/GSR__;!!N_LtwI-RPugbI9wg0dJn!FXL6MTISqQnJTnGTo3Vo64dJvHHxWorkD2CfchRooEohTNxHEzQMD8DNQMzXRVRh2mxasEMzu1hH7pATaQ$]
• Visa 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 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.
• #LI-Hybrid
• #LI-PW1
• At Ford Motor Company, we believe freedom of movement drives human progress.
• With our incredible plans for the future of mobility, we have a wide variety of
• opportunities for you to accelerate your career and help us define tomorrow’s
• transportation.
• We believe that freedom of movement drives human progress. Ford Information
• Technology (IT) is shaping the future of mobility by redefining the
• transportation landscape, enhancing the customer experience and improving
• people’s lives. Join the Ford family as we change the way the world moves.