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).
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 |
|---|---|---|
| Sr Advanced Data Scientist Senior Data Scientist role focused on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions for industrial applications. The role involves managing end-to-end data science projects, providing technical leadership, and mentoring junior team members. | Data | 7 |
| Chemical Engr II This role involves applying data science, machine learning, and analytics to extract technical insights from customer operating data in the industrial sector. The focus is on monitoring processes, identifying improvements, deriving insights from unstructured and historical data, and developing data pipelines to support products and solutions. The role also contributes to building next-generation monitoring tools using AI/ML and creating operational dashboards. | Data |
| 7 |
| Lead Data Engineer Lead Data Engineer role focused on architecting and owning data foundations for industrial AI and Generative AI pipelines, including IoT telemetry, medallion lakehouse, vector stores, embedding pipelines, and RAG workflows. The role involves technical leadership, mentoring, and collaboration with data scientists and AI engineers. | DataAgent | 7 |
| Sr Advanced Data Scientist Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on machine learning, statistical modeling, and data analysis. The role involves leading complex projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team, translating business needs into data science solutions. | Data | 7 |
| Project Engr I This role involves developing and delivering static/rotating asset fault models and predictive maintenance solutions for industrial customers, primarily in the Oil & Gas and Petrochemical sectors. The engineer will act as a Configuration/Monitoring engineer, design FMEA blueprints, and develop models using Machine Learning, Prediction, Fault Tree Analysis, and Root-Cause Failure Analysis to identify and prevent asset failures. The role also includes evaluating the benefits of these solutions and defining methodologies to measure customer KPIs. | Data | 7 |
| Sr Advanced Data Engr Senior Advanced Data Engineer with 9+ years of experience to architect, build, and scale cloud-native data and AI platforms on Azure using Databricks. This role requires deep expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to enable advanced analytics, machine learning, and business intelligence use cases. The candidate will lead enterprise-scale data initiatives, collaborate with data scientists and ML engineers, and contribute to the data and AI strategy. | DataServe | 7 |
| Advanced Data Engr Senior Data Engineer to design, build, and scale cloud-native data and AI platforms on Azure using Databricks, focusing on data engineering, lakehouse architecture, and AI/ML data pipelines to support advanced analytics and ML use cases. The role involves leading data initiatives, collaborating with data scientists and ML engineers, and contributing to the data and AI strategy. | DataServe | 7 |
| Sr Data Engineer Senior Data Engineer at Honeywell focused on building scalable data pipelines and architectures for industrial AI solutions, with an emphasis on IoT data, RAG systems, and supporting the AI product lifecycle. The role involves significant work with Databricks, PySpark, and cloud platforms (Azure, GCP). | DataAgent | 7 |
| Lead Data Engineer Lead Data Engineer on the Industrial AI & Data Platforms team, responsible for architecting and owning data foundations for physical AI at scale, including IoT sensor telemetry and Generative AI pipelines. This role involves technical leadership, building AI-ready data products like vector stores and RAG workflows, and mentoring engineers. | DataAgent | 7 |
| Sr Advanced Data Scientist Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on machine learning, statistical modeling, and data analysis. The role involves leading complex projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team, translating business needs into data science solutions. | Data | 7 |