Honeywell
Industrial · Industrial
- HQ
- Charlotte, US
- Founded
- 1885
- Size
- 95,000+
- Website
- honeywell.com
Industrial · Industrial
Honeywell has 74 active AI-related job listings. The company is primarily hiring for roles related to agents, which constitute 30% of the openings, and serving infrastructure, making up 26%. Engineering is the dominant function, with 73 roles. The majority of these positions are located in India, with 49 listings, followed by the United States with 16. Frequent technical tags include model serving, agent orchestration, and RAG. In the last 30 days, Honeywell has posted 43 new AI roles, representing a 79% increase compared to the previous 30-day period.
Currently tracking 49 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $99k–$124k (avg $112k).
Honeywell currently has 62 active AI-related roles in our index. The most common open titles are: Advanced Software Engr (5), Advanced AI Engr (4), Software Engr II (4), Advanced Data Scientist (3), Sr Advanced Data Scientist (3). Most positions are in Engineering and Product.
Honeywell's active AI hiring is concentrated in: agents (32%), application (23%), data (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Honeywell is hiring AI talent in: India (38 roles), United States (16 roles), Mexico (2 roles), China (2 roles).
Job postings at Honeywell most frequently mention: Machine Learning, Databricks, Data Science, Agentic Systems, Statistics.
In the past 30 days, Honeywell has posted 20 new AI-related roles. That is a -58% change versus the prior 30 days (48 → 20).
| Title | Stage | AI score |
|---|---|---|
| Advanced Software Engineer -AI R&D Advanced Software Engineer in AI R&D at Honeywell, focusing on designing and developing AI-driven solutions for industrial automation systems. The role involves research, development, integration, and prototyping of AI algorithms and models, with a strong emphasis on software engineering principles and delivering new product introductions within industrial environments. | Post-train | 7 |
| Advanced Software Engr This role is for an Advanced Software Engineer at Honeywell, focusing on R&D for industrial automation systems. The engineer will research, design, and develop software using advanced technologies, including AI, and contribute to innovations for customers worldwide. The role requires experience in process control, advanced process control, and domain expertise in industrial sectors. The engineer will also provide customer support and participate in technical strategic planning. |
| 5 |
| Software Engr I Software Engineer I at Honeywell, working on the Sine platform for visitor and contractor management. Responsibilities include developing front-end and back-end features using a Typescript stack on AWS/Kubernetes, utilizing AI-assisted development tools like Github Copilot, and participating in all stages of the software development lifecycle. Requires 1-3 years of full-stack experience and basic understanding of AI-assisted coding. | — | 0 |
| Sr Advanced Tech Product Owner Seeking a Senior/Advanced Technical Product Owner for large-scale operational software platforms used in physical environments like buildings and facilities. The role requires a strong understanding of building and operational systems or related domains, and the ability to work hands-on with engineering teams on complex, distributed software products. The focus is on translating real-world operational needs into scalable product requirements, owning platform-level capabilities, and ensuring solutions are reliable, safe, and support human-in-the-loop operation. Experience with operational, real-time systems and system-level topics is essential. Exposure to analytics or AI-enabled features is desirable. | — | 0 |
| Software Engr I Software Engineer role focused on designing, building, and maintaining web applications using a modern stack (Node, React, Vite, Postgres, Redis, SNS) within AWS infrastructure for industrial solutions. Responsibilities include writing clean TypeScript code, analyzing requirements, collaborating with product teams, writing tests, integrating with third-party APIs, and providing operational support. Experience with AI tools is preferred but not core to the role. | — | 0 |