Principal Architect, Precision Tech Systems

John Deere John Deere · Industrial · Urbandale, IA +1 · Technology (CA)

This role is for a Principal Architect in Precision Tech Systems at John Deere, focusing on leading architectural direction for software, systems, and integration layers. It involves providing technical leadership, driving architectural decisions, partnering with various teams, mentoring, and supporting modernization efforts. While it mentions using AI tools, the core responsibilities are in traditional software architecture, systems engineering, and technical leadership within the industrial/agriculture domain, not in building or shipping AI models or systems.

What you'd actually do

  1. Lead and manage architectural direction for technology stacks spanning software, systems, and integration layers.
  2. Provide technical leadership across multiple delivery teams, ensuring alignment with enterprise architecture standards and business outcomes.
  3. Challenge existing norms and organizational inertia with new concepts and ways of thinking.
  4. Drive architectural decisions that balance innovation, scalability, reliability, security, and delivery execution.
  5. Partner closely with product, engineering, systems, and platform teams to translate strategy into executable architecture.

Skills

Required

  • Software delivery and development
  • Technical leadership
  • Team leadership
  • Modern software architecture
  • Service-oriented interfaces and development practices
  • AI tools usage for product building
  • Collaborative, multi-disciplinary environment operation
  • On-board communication networks (CAN, Automotive Ethernet)

Nice to have

  • Development and delivery of products in agriculture or other off-highway related fields
  • Managing delivery solutions for multiple platform adoptions
  • Systems engineering experience (On-board and Off-board)
  • Software-Defined Vehicle (SDV) concepts and designs
  • FuSA and Security design considerations

What the JD emphasized

  • 15 or years of experience
  • Demonstrated experience (multiple examples) building teams and leading complex, cross-team technology initiatives from concept through delivery.
  • Multiple examples of personally using AI tools to build out a product.