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 |
|---|---|---|
| SR Data Scientist - Global Team - Indaiatuba/SP Develop, deploy, and monitor predictive models for asset valuation in John Deere Financial. This role involves model lifecycle management, data analysis, SQL query development, and production deployment using MLOps practices. | Serve | 7 |
| Senior AI Engineer - Indaiatuba/SP Senior AI Engineer role focused on building and operating backend APIs and workflows that expose AI accelerator capabilities to product teams. The role involves end-to-end delivery of AI capabilities, applying responsible AI/LLMOps practices, and working with RAG/agentic workflows. Requires strong Python and full-stack experience, cloud familiarity (AWS), and CI/CD practices. | AgentServe |
| 7 |
| Data Science Manager Data Science Manager for John Deere's financial services arm, focusing on leading a team to develop and implement advanced analytics and machine learning models for credit scoring and risk assessment. The role involves strategic planning, data governance, stakeholder management, and ensuring the scalability and production readiness of data solutions. | Post-train | 7 |