Currently tracking 49 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $99k–$124k (avg $112k).
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.
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 |
|---|---|---|
| Abschlussarbeit im Bereich Production Intelligence (Informatik, Elektrotechnik, Mechatronik) (m/f/d) The role involves working on a thesis (Bachelor's or Master's) in the field of Production Intelligence within the Advanced Manufacturing Engineering (AME) department. The focus is on developing modern software and automation solutions for future production, including digitalization, process optimization, MES integration, and scalable test/automation systems. The work will involve modern IIoT technologies, Industry 4.0 concepts, Industrial AI, and industrial communication standards. Specific thesis topics include developing a test stand for smart product parameterization, conceptualizing a new leak testing system, and developing a concept for automated palletization of gas meters. The role requires a background in Computer Science, Electrical Engineering, Mechatronics, Data Science, or Industrial Engineering, with an affinity for digitized production and automation programming. Knowledge of industrial communication protocols, SQL/NoSQL databases, MES systems, or edge/cloud platforms is beneficial. The position is a paid internship for 6-12 months. | Ship |
| 4 |
| Director Communications The Communications Director will be responsible for developing and executing internal and external communication strategies for Honeywell in Germany and continental Europe, focusing on telling the company's automation technology stories. This role requires strong media relations, message development, and executive positioning skills, with a mandate to champion AI within the Communications space. | — | 0 |
| Director Growth Strategy Life Science Germany Director Growth Strategy for Life Sciences in Germany, focusing on new customer acquisition, market penetration, and portfolio expansion within pharma, biotech, and med tech sectors. The role involves strengthening sales effectiveness, enhancing market positioning, and evaluating geographic expansion. It also includes leading greenfield and innovation initiatives by assessing emerging technologies and incubating pilot programs. The role requires experience in business development, SaaS, enterprise sales, and regulated Life Sciences environments, with exposure to advanced technologies like AI/ML. | — | 0 |
| Senior Cloud Architect (m/w/d) Senior Cloud Architect for a Track & Trace SaaS platform within Honeywell's Industrial IoT division. Responsibilities include end-to-end cloud architecture ownership, system architecture in SAFe, defining architectural runway, leading reviews, providing technical leadership, driving cloud modernization, and coaching engineers. Requires 8+ years of experience, 3+ years in AWS cloud-native solutions, strong software architecture, distributed systems, microservices, and Agile/SAFe experience. | — | 0 |