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
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