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 reference: model serving, rag, agent orchestration, inference infra, vector db.
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 |
| Sr. Director Data & AI Platforms Senior Director role focused on architecting and evolving industrial AI platforms, including data ingestion, model serving, and agentic orchestration across cloud, on-premises, and edge environments. The role involves defining reference architectures, leading technology evaluations, and driving platform simplification and standardization for enterprise-scale AI. | 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 AI Platform Engineer This role focuses on building and scaling an enterprise AI/ML platform for intelligent automation, encompassing IoT data pipelines, knowledge graphs, LLM orchestration, RAG services, and React interfaces. It involves working with data engineering, MLOps, and edge AI, deploying models to edge devices, and enabling AI-driven applications. The engineer will develop Python APIs for on-device inference, design and maintain AI/ML platform services, build CI/CD for inference logic, implement ML orchestration workflows, and integrate AI workloads. Experience with cloud-native platforms, edge AI deployment, knowledge graphs, and LLM frameworks is required. | AgentServe | 8 |
| Advanced AI Engineer This role focuses on designing, developing, and deploying Generative AI and Agentic AI systems, including building AI agents using orchestration frameworks and operationalizing AI at scale on cloud platforms with MLOps best practices. The role involves architecting end-to-end AI pipelines, deploying models, and ensuring monitoring and observability. | AgentServe | 8 |
| Sr. Advanced AI Software Engineer Sr. Advanced AI Software Engineer at Honeywell responsible for designing, building, and deploying advanced AI/ML systems, including LLMs and generative AI, end-to-end. The role involves architecting scalable solutions, leading model optimization and evaluation, driving MLOps practices, and providing technical leadership. | AgentServe | 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 |
| Senior Advanced Application Engineer - APM Senior Advanced Application Engineer role at Honeywell, focusing on technical delivery of industrial automation projects. Responsibilities include managing project technical aspects, coordinating teams, selecting equipment, reviewing designs, and working with end-users on deliverables like diagnostics, performance, predictions, and FMEA models. Requires strong experience in industrial software engineering, IT/Digital integration, and advanced skills in BI, Python, machine learning, predictive analytics, and statistical analysis. | Post-train | 7 |
| Application Engr II Application Engineer II at Honeywell in Tianjin, China, focusing on custom development and integration of Honeywell's solutions, including AI technologies for industrial scenarios like Intelligent Plants and predictive maintenance. Requires at least 3 years of AI development experience, Python proficiency, and experience with AI algorithm research and implementation. | Ship | 7 |
| Senior IT Architect Senior IT Architect responsible for the design and development of software architecture for Honeywell's AI Assistant, "Red". The role involves defining system requirements, designing integrated solutions, and evaluating emerging AI/ML technologies for deployment, with a focus on scalability and alignment with business objectives. | ServeData | 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 |
| Director System Architecture & AI Director of System Architecture & AI at Honeywell, responsible for leading architectural design of complex software systems, driving technical product management, and incorporating AI technologies into AI-first products. Requires extensive experience in system architecture, hardware/firmware/software development, and AI technologies. | Ship | 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 |
| 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 |
| Software Engr II Full-Stack Engineer with .NET background to develop and iterate on AI systems for small and medium-sized localized platforms. Responsibilities include building .NET services, integrating local LLM capabilities, implementing full-stack AI features, and ensuring system stability, performance, and compliance. Focus is on application engineering and production delivery, not model training or research. | Agent | 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 |
| Lead AI Engineer Lead AI Engineer role at Honeywell, focusing on developing and implementing AI solutions for industrial applications. Responsibilities include leading a team, designing algorithms, and collaborating with cross-functional teams. | Ship | 7 |
| Director Embedded AI Engineering Lead hands-on development and deployment of Edge AI solutions, focusing on model optimization and MLOps pipelines for embedded platforms with GPUs/AI accelerators. | Serve | 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 |
| Advanced Data Scientist This role focuses on developing and integrating AI/ML models and generative AI systems, including LLMs and multi-modal embeddings, to enhance security insights and product capabilities. It involves data engineering, evaluating third-party solutions, and deploying analytical systems for forensic and real-time security outcomes. | AgentData | 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 |
| 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 |