Ford Motor Company

Director of Engineering – Forward Deploy AI

Ford Motor Company

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

BigQueryCloudGoogle Cloud PlatformRPA

About the role

  • Help shape the future of Ford Credit by driving the execution and improvement of Ford Credit’s operations and customer experience by apply AI – with a large focus on agentic systems – within the business!
  • Lead a specialized team of engineers who sit within our business units to drive AI-flavored solutions for solving our most difficult challenges.
  • Be accountable for the performance and results of deployed AI within the business.
  • Lead and mentor a team of forward-deployed engineers, working with enterprise architecture and our developer enablement teams to oversee the platform for AI.
  • Champion the use of AI agents and agentic systems for both efficiency and growth opportunities across the organization.
  • Work with engineering delivery teams to collaborate with business and product on AI-driven opportunities.
  • Responsible for establishing best practices for process mapping, the selection of appropriate technology platforms, and the governance of non-deterministic systems.

Requirements

  • **You'll have...**
  • - Bachelor’s Degree in Computer Science, Engineering, or a related field
  • **Job Qualifications:**
  • - A minimum of 10 years of experience in software engineering or a related field, with at least 5 years in a leadership role.
  • - Proven experience in building and deploying generative AI and machine learning solutions in a production environment.
  • - Deep understanding of generative AI, large language models (LLMs), AI agents, and agentic system capabilities.
  • - Expertise in & passion for coding assistants (e.g., Claude Code, Gemini CLI, Google CodeAssist, GH CoPilot)
  • - Experience in building with agent development kits (e.g., ADK, LangGraph, CrewAI)
  • - Understanding of robotic process automation.
  • - Extensive hands-on experience with the Google Cloud Platform (GCP), particularly with services like Vertex AI, BigQuery, and Apigee.
  • - Strong background in solutions architecture and experience with system integration and API development.
  • - Familiarity with non-deterministic systems and the principles of AI governance and ethics.
  • - Experience with process mapping and business process analysis.
  • - Demonstrated ability to lead and develop a technical team in a fast-paced, innovative environment.
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
software engineeringgenerative AImachine learninglarge language modelsAI agentsagentic systemscoding assistantsrobotic process automationsolutions architectureAPI development
Soft Skills
leadershipmentoringcollaborationprocess mappingbusiness process analysisteam developmentinnovation
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering