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 |
|---|---|---|
| Sr Advanced Software Engr Senior Advanced Software Engineer at Honeywell with expertise in computer vision, deep learning, and GenAI, focusing on end-to-end ML pipeline ownership from research to production deployment and scaling. Requires strong skills in ML deployment, MLOps, cloud platforms, and Python/C++/Java. | ServePost-train | 8 |
| Sr Advanced Software Engr Senior Advanced AI Engineer at Honeywell responsible for designing, developing, and deploying end-to-end cloud and AI/ML solutions for autonomous capabilities. This role involves hands-on technical leadership across the full ML lifecycle, from data pipelines to model optimization and drift detection, with a focus on MLOps and integrating AI into existing products. The engineer will also mentor junior team members. | Serve |
| 8 |
| Advanced Data Scientist Advanced Data Scientist at Honeywell in Hyderabad, India, focusing on leading the development and implementation of advanced analytics models and algorithms. This role involves translating business needs into data science solutions, managing end-to-end projects, and mentoring junior data scientists. Requires 6+ years of experience in data science, mastery in machine learning, statistical modeling, and data analysis, and proficiency in Python or R. | Serve | 7 |
| Sr Software Eng Manager This role is for a Sr. Software Engineering Manager at Honeywell, focusing on the Forge platform. The manager will lead engineering teams in building scalable, secure, and resilient cloud-native systems on Azure, GCP, AWS. Key responsibilities include driving engineering strategy, integrating AI/ML practices, operationalizing ML models, building MLOps pipelines, leading delivery of AI-enabled features, and advancing platform engineering. The role also involves people leadership, quality engineering, and stakeholder management, with a strong emphasis on AI readiness and responsible AI use. | ServeAgent | 7 |
| AI Engr II AI Engineer II at Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) focused on developing, deploying, and maintaining AI/ML models and visualizations for business insights and revenue targets. Responsibilities include understanding business problems, data preprocessing, implementing analytics, developing ML models, automating deployment, and maintaining ML solutions. Requires a Bachelor's/Master's degree, 4+ years of experience in data science/analytics, production-grade applications, strong Python/R/SQL skills, experience with ML frameworks (SciKit, TensorFlow, Pytorch), databases, data warehousing, and MLOps. | Serve | 7 |
| AI Engr I AI Engineer role focused on developing, deploying, and maintaining AI/ML models and visualizations for Value Engineering and Component Engineering COE. Responsibilities include understanding business problems, data preprocessing, implementing analytics solutions, developing ML models, automating deployment, and maintaining ML solutions. Requires experience with Python, R, SQL, deep learning, classical ML, and MLOps processes. | ServeData | 7 |
| AI Engr I AI Engineer role focused on developing, deploying, and maintaining AI/ML models and visualizations for Value Engineering and Component Engineering COE. Responsibilities include understanding business problems, data preprocessing, implementing analytics solutions, developing ML models, automating deployment, and maintaining ML solutions. Requires experience with Python, R, SQL, deep learning, classical ML, and MLOps processes. | ServeData | 7 |
| AI Engr II This role focuses on developing, deploying, and maintaining AI/ML models and visualizations for business value engineering and component engineering within Honeywell. The responsibilities include understanding business problems, cleaning and preprocessing data, implementing analytics solutions, developing ML/AI models, automating deployment of production-ready ML solutions, and troubleshooting/maintaining these solutions. The role requires strong scripting skills (Python, R, SQL), experience with ML/DL frameworks (SciKit, TensorFlow, PyTorch), database knowledge, and experience with MLOps processes on Azure. | Serve | 7 |
| AI Engr II This role focuses on developing, deploying, and maintaining AI/ML models and visualizations for business value engineering and component engineering within Honeywell. The responsibilities include understanding business problems, cleaning and preprocessing data, implementing analytics solutions, developing ML/AI models, automating deployment of production-ready ML solutions, and troubleshooting/maintaining these solutions. The role requires strong scripting skills (Python, R, SQL), experience with ML/DL frameworks (SciKit, TensorFlow, PyTorch), database knowledge, and experience with MLOps processes on Azure. | Serve | 7 |
| Lead Software Engr Lead Software Engineer and Platform Architect for Honeywell's Common Services organization, focusing on defining, designing, and delivering enterprise-grade platform capabilities. The role involves technical leadership across Kubernetes, API management, CI/CD, AI/ML platforms, and SRE practices to enable hundreds of engineers. Key responsibilities include architecting AI/ML infrastructure, integrating AI capabilities, operationalizing ML models via MLOps, and evaluating AI/ML tooling. The role requires deep architectural vision, hands-on engineering, and leadership to guide cross-functional teams in shaping the platform strategy for global digital transformation. | ServeData | 7 |
| Sr Advanced Software Engr Senior Software Engineer focused on building and deploying scalable backend services and APIs, with a strong emphasis on MLOps pipelines, observability, and CI/CD within an industrial and safety-critical aerospace context. | Serve | 7 |
| Lead SW Architect Lead Software Architect role at Honeywell focusing on designing and developing scalable software architectures for process and DCS solutions, incorporating AI/ML and Azure. The role involves researching emerging technologies, architecting microservices, and ensuring system integration and scalability within the industrial domain. | Serve | 7 |
| Software Engr II Seeking an ML Engineer to design, implement, and operate scalable ML platforms on Databricks, focusing on reliable model development, deployment, monitoring, and lifecycle management for large-scale AI workloads. Responsibilities include end-to-end ML lifecycle management, automation frameworks, governed experiment tracking, model serving, monitoring, feature management, and optimization. | ServeData | 7 |
| Advanced Software Engr Advanced Software Engineer at Honeywell in Bengaluru, India, focusing on Data Engineering and ML Operations for production-grade AI solutions. The role involves leading the development of AI systems using various learning techniques, optimizing model performance, and integrating third-party AI services. Requires strong Python, ML libraries, MLOps tools, cloud platforms, and big data experience, with exposure to LLMs, vector databases, and edge AI. | ServeData | 7 |
| AI Manager Manager for an industrial AI/ML engineering team, focusing on building and deploying intelligent solutions for predictive maintenance, process optimization, and smart automation. Requires strong leadership, AI/ML strategy, production deployment experience, and industrial systems integration. | Serve | 7 |
| Sr Software Eng Manager This role is for a Sr. Software Engineering Manager at Honeywell, focusing on leading engineering teams to build and scale reliable, secure, and resilient cloud-native systems on Azure, GCP, and AWS. The manager will be responsible for driving engineering strategy, integrating AI/ML practices into engineering processes and product capabilities, operationalizing ML models, building MLOps pipelines, and leading the delivery of AI-enabled features. The role also involves people leadership, advancing platform engineering, strengthening quality engineering with AI-driven insights, and managing budgets for AI-driven initiatives. Experience with SRE, Data and AI platforms, and integrating ML models into production systems is required. | ServeData | 7 |