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.
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 |
|---|---|---|
| Lead AI Engr Lead AI Engineer at Honeywell's Building Automation division, responsible for designing, developing, and implementing AI/ML systems, GenAI, and agentic AI solutions. Focuses on architecture, strategy, technology selection, and ensuring scalability, security, and alignment with business objectives. Key areas include multi-agent frameworks, orchestration, RAG, fine-tuning, and AI governance within an industrial domain. | AgentServe | 9 |
| Sr IT Engineer Sr. IT Engineer role focused on designing, developing, and deploying Generative AI and Agentic AI systems using frameworks like LangChain and LangGraph on cloud platforms (Azure, AWS, GCP). Responsibilities include building AI agents, implementing end-to-end AI pipelines, MLOps, model monitoring, and ensuring enterprise standards for scalability, security, and compliance. Requires 5+ years of AI/ML experience and proficiency in Python and ML frameworks. |
| Agent |
| 8 |
| Software Engr II Full Stack AI Platform Engineer responsible for designing, building, and scaling enterprise AI/ML platforms, focusing on IoT data pipelines, LLM orchestration, RAG services, and deploying models to edge devices. The role involves developing Python APIs for inference, managing ML platform services, building CI/CD for edge deployments, implementing ML orchestration workflows, and integrating AI workloads. | AgentServe | 8 |
| Advanced AI Engr This role focuses on developing and deploying Generative AI and data science solutions within Honeywell's Value Engineering and Component Engineering Center of Excellence. The engineer will be responsible for understanding business problems, building visualizations, cleaning and preprocessing data, implementing analytics and dashboards, developing ML/AI models, and automating the deployment of production-ready ML solutions. Experience with AI agent frameworks and LLM models is required. | AgentData | 8 |
| Advanced AI Engr This role focuses on developing and deploying Generative AI and data science solutions within Honeywell's Value Engineering and Component Engineering Center of Excellence. The engineer will be responsible for understanding business problems, building visualizations, cleaning and preprocessing data, implementing analytics and dashboards, developing ML/AI models, and automating the deployment of production-ready ML solutions. Experience with AI agent frameworks and LLM models is required. | AgentData | 8 |
| Principal AI Engr Principal AI Engineer at Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) Advanced Tech team. This role focuses on driving the Gen AI strategy and roadmap, performing market research, incubating new technologies, and collaborating with IT and business teams to deploy AI/ML models in production. The position requires strong experience in leading AI/ML teams, proficiency in AI/ML frameworks, LLM models, fine-tuning techniques, MLOps, and cloud platforms (GCP). | Agent | 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. | ServeAgent | 8 |
| 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 |
| Advanced Software Engineer Advanced Data Scientist at Honeywell responsible for providing technical insight and subject matter expertise in machine learning, statistical modeling, and data analysis projects. Will translate business needs into data science solutions, manage end-to-end projects, and mentor junior data scientists. | Post-train | 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, product managers, and business leaders to integrate AI solutions and manage the end-to-end AI development lifecycle. | Ship | 7 |
| Advanced Data Scientist Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on leading the development and implementation of advanced analytics models and algorithms. The role involves translating business needs into data science solutions, managing end-to-end projects, and mentoring junior data scientists. Requires 5+ years of experience in data science with mastery in machine learning, statistical modeling, and data analysis. | Post-train | 7 |
| 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 |
| Software Engr II Software Engineer with GenAI and DevOps experience to modernize CI/CD, implement intelligent automation, AI-based impact analysis, infrastructure-as-code, platform engineering, and reliability improvements. Responsibilities include building AI-based automation, enhancing CI/CD pipelines, integrating DevSecOps tools, contributing to developer enablement tools, and supporting cloud infrastructure automation. | Agent | 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 Analytics Professional This role focuses on building AI-powered workflows and custom AI agents using Generative AI, agent frameworks like LangChain/LangGraph, and Microsoft Copilot within an industrial enterprise context. It involves data analysis, Power BI dashboard development, and integrating AI solutions with existing systems to automate tasks and drive business decisions. | AgentServe | 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 |
| 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 |
| Lead AI Engr Lead AI Engineer at Honeywell focused on driving Generative AI strategy and roadmap for Value Engineering and Component Engineering COE. Responsibilities include market research, vendor partnerships, incubating new technologies, collaborating with IT and business teams, implementing and optimizing AI/ML models in production, developing APIs/microservices, and coaching data scientists. Requires strong experience in AI/ML, LLMs, fine-tuning, MLOps, cloud platforms (GCP), and data skills. | Agent | 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 |
| Advanced Software Engr Software Engineer role focused on building industrial automation applications using AI/ML, specifically involving LLM hosting, agent implementation, RAG components, and data engineering. | AgentData | 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 |
| 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 |
| 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 AI Manager AI Technical Program Manager for GBS Finance at Honeywell, leading the development and scaling of autonomous and agentic AI systems for business workflows. The role requires a hybrid mindset of senior program leadership and technical depth, focusing on governance, metrics, architecture, and continuous improvement within a regulated finance environment. | AgentServe | 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 |
| 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 |
| 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 |