Honeywell
Industrial · Industrial
- HQ
- Charlotte, US
- Founded
- 1885
- Size
- 95,000+
- Website
- honeywell.com
Currently tracking 49 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $99k–$124k (avg $112k).
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.
Industrial · Industrial
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 AI Engr Advanced AI Engineer at Honeywell, responsible for leading the design and development of AI algorithms, models, and systems, acting as a subject matter expert, and driving technical excellence in AI initiatives. The role involves collaborating with cross-functional teams, product managers, and business leaders to integrate AI solutions and manage the end-to-end AI development lifecycle. | Ship | 7 |
| Sr Advanced AI Engr Senior Advanced AI Engineer at Honeywell, focused on leading the design and development of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, subject matter expertise, and collaboration with cross-functional teams to integrate AI solutions and drive technical excellence. | Ship |
| 7 |
| Sr Advanced Data Scientist Senior Data Scientist role at Honeywell focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions for industrial applications. The role involves leading complex projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team. | Ship | 7 |
| Advanced AI Engr Advanced AI Engineer at Honeywell responsible for leading the design and development of AI algorithms, models, and systems, acting as a subject matter expert, and driving technical excellence in AI initiatives. The role involves collaborating with cross-functional teams, understanding business requirements, and mentoring other engineers. | Ship | 7 |
| Embedded Engr II The Test Engineer will own end-to-end testing of an industrial autonomous solution for oil & gas well operations. This involves validating software, hardware, controls, and analytics in real operational environments, ensuring safety, reliability, and performance. Responsibilities include defining test strategy, performing various types of testing, validating autonomous use cases, and ensuring product quality meets industrial standards. | Ship | 5 |
| Director Software Eng Director of Software Engineering at Honeywell, focusing on leading innovation and idea incubation for industrial, buildings, and security domains. The role involves guiding teams in adopting emerging technologies like AI/ML and GenAI, ensuring solutions are scalable, secure, and production-ready, with a strong emphasis on domain-specific constraints and regulatory compliance. The primary output is the successful transition of incubated ideas into scaled product platforms or enterprise delivery models. | Ship | 5 |