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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 6 active AI roles, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $109k–$170k (avg $151k).

Hiring
6 / 8
Momentum (4w)
↓-24 -13%
161 opens last 4w · 185 prior 4w
Salary range · avg $151k
$109k–$170k
USD · disclosed roles only
Tracked since
7w ago
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Nov 29
1 new role
Sep 25
1 new role
Jun 9
1 new role
30
1 new role
Jul 7
1 new role
14
1 new role
Oct 13
1 new role
Nov 24
1 new role
Dec 8
4 new roles
15
1 new role
Jan 12
2 new roles
26
4 new roles
Feb 2
1 new role
9
3 new roles
16
3 new roles
23
2 new roles
Mar 2
8 new roles
9
10 new roles
16
7 new roles
23
6 new roles
30
10 new roles
Apr 6
12 new roles
13
18 new roles
20
26 new roles
27
28 new roles
May 4
46 new roles
11
48 new roles
18
45 new roles
25
46 new roles
Jun 1
40 new roles
8
38 new roles
15
55 new roles
22
28 new roles
29
John Deere

John Deere

Industrial · Autonomous tractors / See & Spray CV

Frequently asked questions

  • What AI roles is John Deere hiring for?

    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.

  • What stage of AI development does John Deere focus on?

    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.

  • Where is John Deere hiring AI talent?

    John Deere is hiring AI talent in: United States (8 roles), Brazil (3 roles).

  • What skills does John Deere look for in AI roles?

    Job postings at John Deere most frequently mention: Robotics, Machine Learning, Software Engineering, Perception, Linux.

  • How many AI roles has John Deere posted recently?

    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).

Jobs (3)

6 AI · 207 total active
FilteredStageData×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 3Serve · 2Agent · 4Ship · 2
Function
AllEngineering · 99Product · 57
Country
AllUnited States · 118Brazil · 40Poland · 15Australia · 9France · 8Mexico · 8Netherlands · 5United Kingdom · 3Canada · 2Sweden · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA
Part-time student role focused on data science and analytics within John Deere's Intelligent Solutions Group, involving data cleaning, preprocessing, exploration, and analysis for advanced sensing projects. Requires proficiency in Python, SQL, and knowledge of ML/DL techniques, AI coding tools, and specific software like Gurobi, GitHub, VSCode, and Databricks.
DataEngineeringAustin, TX +12w ago5
Part-Time Student - Data Science & Analytics
Part-time student role focused on data analysis and model building for advanced automation and sensing projects within John Deere's Technology Innovation Center. Requires coursework in relevant fields, programming skills (Python), and knowledge of machine learning/AI concepts.
DataEngineeringAmes, IA +13w ago5
Staff Data Engineer - Indaiatuba/SP
Staff Data Engineer for John Deere Financial to build a data platform for advanced analytics and model building, enabling efficient customer services like automatic loan approvals. Responsibilities include leading design reviews, providing technical guidance, improving data quality, implementing best practices for software development and CI/CD, collaborating with architecture teams, and working within an Agile framework. Requires experience in data pipelines, ETL, Data Modeling, Data Warehousing, large-scale datasets, API Development (Java, Spring boot), technical leadership, solution architecture, TDD, and extensive knowledge of Data Engineering tools (Spark, Databricks, Python, SQL/NoSQL DB, Data Lake) and AWS services. Working knowledge of Gen AI, Agentic pattern, and Graph databases is also required.
DataEngineeringIndaiatuba, SP, Brazil6w ago5