Software Engineer

Posted Yesterday
Hiring Remotely in Dearborn, MI, USA
In-Office or Remote
68K-193K Annually
Senior level
Automotive
The Role
Build and operate production backend systems across COBOL mainframe, Java and Spring services, and GCP microservices. Develop audited MCP tools, multi-agent workflows, hybrid vector and graph retrieval, deterministic Java/Kotlin services, and AI evaluation infrastructure. Diagnose originations-platform issues, improve observability and knowledge systems, author technical documentation, and automate testing and grading for legacy and modern applications.
Summary Generated by Built In

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.

The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
 

In this position...

  • Ford Motor Credit Company's Pinnacle Loan Originations platform underwrites and funds a significant share of the vehicles Ford sells worldwide. It is a mission-critical, multi-tier system: a mainframe core (COBOL, DB2, CICS) that executes the money-path decisioning, a Java/Spring services tier that orchestrates business workflows, GCP Cloud Run microservices at the digital edge, and Splunk-driven observability across the estate.
  • We are building an AI enablement layer on top of this platform — a set of production capabilities that make Pinnacle faster to operate, easier to debug, and more discoverable to the engineers and analysts who depend on it.  
Responsibilities

What you'll do...

  • Read the whole stack, then change it. Diagnose production issues across the mainframe (COBOL, DB2, CICS), the Java/Spring services tier, and Cloud Run microservices. Ship the fix on the money-path and the corresponding improvement to agent tooling and knowledge substrate in the same change set.
  • Design and operate the MCP tools layer. Build least-privilege, per-call-audited MCP servers over DB2, Splunk, and GCP. Provenance, PII handling.
  • Build production multi-agent workflows on Google ADK — SequentialAgent and LoopAgent compositions, creating and managing Agent workflows, including escalation-containment patterns — for Splunk → DB2 → GCP error triage, ADR authoring, and originations debugging.
  • Own the knowledge graph and retrieval work end-to-end. Model the loan originations ontology (VIN, dealer, offer, program eligibility, environment topology). Implement hybrid vector + graph retrieval. Every RAG-produced answer must be defensible under audit.
  • Ship deterministic backend services in Java/Kotlin + Spring Boot on GCP — the audit envelope, provenance store, and human-in-the-loop review surfaces where non-determinism is unacceptable.
  • Author ADRs in ADR-driven-development, OKF business-logic documents, skill files, and Splunk saved-search catalogs. Pair with teammates on the hard debugging sessions. The write-up is part of "done."
  • Track mean time from "agent cannot handle this" to "agent handles this autonomously," and publish the trend monthly.
  • Create evaluations and an evaluation runner for all AI tools and agents built by you and the team.
  • Publish, monthly, 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, ensuring coverage, repeatability, and measurable quality improvements.
Qualifications

You'll have... 

  • 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).
  • Atleast 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.
  • Comfort operating in complex, multi-tier, legacy-integrated environments where change control and auditability matter.

Even Better you'll have...

  • Semantic technologies, ontology engineering, or graph databases (Neo4j, Neptune, or similar).
  • Experience integrating with mainframe systems (COBOL, DB2 for z/OS, CICS) or comparable long-lived transactional cores.
  • Splunk SPL proficiency, including saved-search and dashboard authoring on large indexes.
  • Event-driven architectures (Pub/Sub, Kafka); containerization (Docker, Kubernetes).

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 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.

This position is a salary grade 5 and ranges from $68,300-$114,800., This position is a salary grade 6 and ranges from $85,400-$143,200., This position is a salary grade 7 and ranges from $99,600-$166,600., This position is a salary grade 8 and ranges from $115,000-$192,900.      

For more information on salary and benefits, click here: https://fordcareers.co/GSR

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.

#LI-Remote #LI-FordCredit #LI-AW2 







Skills Required

  • 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 of experience in Python and Java
  • At least 1 year of experience shipping AI-enabled applications in production
  • Experience with agent orchestration frameworks such as Google ADK, LangGraph, LangChain, or comparable frameworks
  • Practical experience implementing MCP tool integrations, agent communication patterns, and AI observability
  • Experience with vector search, hybrid retrieval, knowledge graphs, or GraphRAG
  • Strong backend fundamentals including Spring Boot, relational databases, query and schema design, REST/OpenAPI, TDD, and modern CI/CD
  • Production experience with Google Cloud Platform, including Vertex AI, Cloud Run, and BigQuery, or an equivalent cloud
  • Experience operating in complex, multi-tier, legacy-integrated environments where change control and auditability matter
  • Kotlin or TypeScript experience
  • Experience with semantic technologies, ontology engineering, or graph databases such as Neo4j or Neptune
  • Experience integrating with mainframe systems including COBOL, DB2 for z/OS, and CICS, or comparable transactional cores
  • Splunk SPL proficiency, including saved-search and dashboard authoring on large indexes
  • Experience with event-driven architectures such as Pub/Sub or Kafka
  • Experience with containerization using Docker or Kubernetes

Ford Motor Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.

  • Healthcare Strength Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
  • Retirement Support A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
  • Parental & Family Support Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.

Ford Motor Company Insights

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The Company
HQ: Dearborn, MI
175,633 Employees
Year Founded: 1903

What We Do

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

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