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At Ford Motor Company, you can build more than vehicles. The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles by providing financing, personalized service, and professional expertise to thousands of dealers and millions of customers worldwide.

In this position, you will work on the Pinnacle Loan Originations platform, which underwrites and funds a significant share of the vehicles Ford sells worldwide. You will help build an AI enablement layer on top of this platform to make it faster to operate, easier to debug, and more discoverable to engineers and analysts.

Responsibilities

  • Diagnose production issues across the mainframe (COBOL, DB2, CICS), the Java/Spring services tier, and Cloud Run microservices.
  • Design and operate the MCP tools layer, building least-privilege, per-call-audited MCP servers over DB2, Splunk, and GCP.
  • Build production multi-agent workflows on Google ADK for Splunk → DB2 → GCP error triage, ADR authoring, and originations debugging.
  • Own the knowledge graph and retrieval work end-to-end, modeling the loan originations ontology and implementing hybrid vector + graph retrieval.
  • Ship deterministic backend services in Java/Kotlin + Spring Boot on GCP.
  • Author ADRs, OKF business-logic documents, skill files, and Splunk saved-search catalogs.
  • Track mean time from "agent cannot handle this" to "agent handles this autonomously" and publish the trend monthly.
  • Publish the change types you've made cheaper , mean time from "agent doesn't know this" to "agent handles it autonomously."
  • Automate test-case generation, evaluation, and grading for both brownfield and greenfield applications.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field , or equivalent professional experience.
  • 7+ years building and operating production-grade backend systems as a hands-on engineer.
  • 5+ years in Python and Java (Kotlin, TypeScript a plus).
  • At least 1 year of experience in shipping AI-enabled applications in production , agent frameworks, retrieval systems, or LLM-backed services.
  • Demonstrated experience with agent orchestration frameworks , Google ADK, LangGraph, LangChain, or comparable.
  • Practical experience implementing MCP (Model Context Protocol) tool integrations, agent communication patterns, and AI observability.
  • Working experience with vector search and hybrid retrieval, and with knowledge graphs or GraphRAG.
  • Strong backend fundamentals: Spring Boot, relational databases (PostgreSQL, DB2, or similar) including query and schema design, REST/OpenAPI, TDD, modern CI/CD.
  • Production experience on Google Cloud Platform (Vertex AI, Cloud Run, BigQuery) or an equivalent cloud.

Benefits

  • Immediate medical, dental, vision, and prescription drug coverage
  • Flexible family care days, 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
  • 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

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