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 |
|---|---|---|
| Test Automation Engineer - SG6 - Monterrey John Deere is seeking a Test Automation Engineer to develop automated test procedures for system verification, debug embedded software, collaborate with development teams, and prepare test reports. The role requires proficiency in C, C++, or Python, familiarity with debugging tools and automated testing frameworks, and understanding of version control and CI/CD pipelines. Experience with HIL testing and embedded systems architecture is a plus. | — | 0 |
| Analytics Data Engineer I - Monterrey John Deere is seeking an Analytics Data Engineer I in Monterrey to design, develop, and maintain Power BI dashboards and reports, build semantic models, and develop advanced SQL queries. The role involves working with enterprise data platforms like Databricks and translating business questions into data solutions, with a preference for candidates with Python, ML, or AI workflow exposure. | — | 0 |