John Deere has 6 active AI-related job listings. The most represented stages are agents and data, each accounting for 33% of the roles. Engineering is the top function, with hiring concentrated in the United States and Brazil. Frequently tagged technologies include agent orchestration, tool use, and RAG.
Currently tracking 6 active AI roles, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $109k–$170k (avg $151k).
John Deere currently has 11 active AI-related roles in our index. The most common open titles are: Engineer Perception System Integration (m/f/d), Lead Product Manager, Farmer Insights Applications, Part-Time Student - Data Science & Analytics, Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA, Part-Time Student - Software Engineer - Moline, IL. Most positions are in Engineering and Product.
John Deere's active AI hiring is concentrated in: agents (36%), data (27%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
John Deere is hiring AI talent in: United States (8 roles), Brazil (3 roles).
Job postings at John Deere most frequently mention: Robotics, Machine Learning, Software Engineering, Perception, Linux.
In the past 30 days, John Deere has posted 8 new AI-related roles. That is a -27% change versus the prior 30 days (11 → 8).
| Title | Stage | AI score |
|---|---|---|
| Senior Perception Engineer Senior Perception Engineer role focused on developing and deploying applied ML models for autonomous systems, with responsibilities spanning the full autonomy stack from data ingestion to model deployment on embedded platforms. The role requires strong C++ and ML skills, with an emphasis on production reliability and system integration. | ShipData | 7 |
| Lead Product Manager, Farmer Insights Applications Lead Product Manager to define and lead the strategy, roadmap, and execution of the Farmer Insights Platform, a portfolio of products and capabilities designed to help farmers make better decisions through trusted, data-driven insights. This role is part of a newly formed team focused on building the future of decision intelligence in agriculture. The platform combines the creation of a discovery platform that will help farmers optimize their operations, from planning through execution, combined with data-driven capabilities embedded within John Deere's Operations Center. Together. These capabilities create a closed-loop intelligence system that generates insights, measures outcomes, quantifies economic value, and continuously improves over time. This role sits at the intersection of product management, customer discovery, artificial intelligence, agronomy, data science, and software development. Success requires balancing innovation with trust, speed with rigor, and experimentation with scalable execution. |
| Ship |
| 5 |