Currently tracking 49 active AI roles, with 162 new openings in the last 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 70 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), AI Engr II (3), AI Manager (3). Most positions are in Engineering and Product.
Honeywell's active AI hiring is concentrated in: agents (33%), application (24%), serving infrastructure (21%). 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 (45 roles), United States (17 roles), Mexico (2 roles), China (2 roles).
Job postings at Honeywell most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Honeywell has posted 45 new AI-related roles. That is a +36% change versus the prior 30 days (33 → 45).
| Title | Stage | AI score |
|---|---|---|
| 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 AI Engr Senior Advanced AI Engineer at Honeywell's Buildings Automation team, focusing on end-to-end development of complex ML and Gen AI solutions for the Smart Communities domain. The role involves innovating, designing, prototyping, and deploying solutions for incident management and customizable dashboards, working with diverse data types (HVAC, fire, security, etc.). Responsibilities include architecting AI/ML/Gen AI solutions, developing agentic AI systems, providing technical leadership, and owning the technology solution lifecycle. | AgentPost-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. | ServeAgent | 8 |
| 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 Manager Manager for an AI engineering team at Honeywell, responsible for leading, mentoring, and overseeing the end-to-end development and integration of AI solutions into existing systems. Focuses on project planning, resource allocation, timeline management, and establishing best practices and coding standards. | Ship | 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 Manager AI Manager role focused on leading end-to-end delivery of AI programs within Honeywell's Value Engineering and Component Engineering Center of Excellence. The role involves translating strategy into executable plans, driving execution rigor, managing vendors and cross-functional teams, owning requirements evaluation and value realization, establishing documentation and governance standards, developing tooling roadmaps, managing resources and budgets, and building a high-performing AI organization. Requires strong AI/ML/Data analytics program delivery leadership, AI/GenAI & MLOps/LLMOps literacy, cloud platform understanding, and experience with governance, compliance, vendor partnering, process excellence, financial management, and people leadership. | ShipEval Gate | 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 |
| 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 |
| Advanced Cyber Sec Archt/Engr This role focuses on assessing the security of GenAI/LLM-enabled systems, including RAG and agentic workflows. Responsibilities include identifying vulnerabilities like prompt injection, data exfiltration, and tool abuse, evaluating guardrails, and reporting findings to engineering teams for remediation. The role requires hands-on penetration testing experience across various domains, with a specific emphasis on GenAI security. | Agent | 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 |
| 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 |
| Advanced AI Engr Advanced AI Engineer at Honeywell, leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. This role requires expert-level technical leadership, end-to-end project lifecycle management, and collaboration with cross-functional teams and business leaders to ensure AI initiatives align with business objectives. The position emphasizes driving technical excellence and fostering a culture of innovation. | Ship | 7 |
| Sr Advanced Data Scientist Senior Advanced Data Scientist at Honeywell in Bengaluru, India, focusing on applying machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. The role involves managing end-to-end data science projects, mentoring junior scientists, and contributing to the strategic vision of the Data Science team within the industrial domain. | Ship | 7 |
| Advanced Data Scientist Advanced Data Scientist role at Honeywell focusing on leading the development and implementation of advanced analytics models and algorithms, translating business needs into data science solutions, and managing end-to-end data science projects within the industrial domain. The role involves mentoring junior data scientists and driving innovation. | Ship | 7 |
| Software Engr II Software Engineer with full-stack .Net and Angular experience, focusing on developing scalable applications, database management, and collaborating with cross-functional teams. The role involves using AI-assisted tools and integrating with AI/ML APIs, indicating an exploratory engagement with AI technologies within a traditional software engineering context. | — | 5 |
| Software Engr II Software Engineer II role at Honeywell in Bengaluru, India, focusing on traditional software development with an emphasis on AI-assisted tools and basic LLM application understanding. The role involves standard web technologies, multithreaded systems, and asynchronous queuing, with a preference for RDBMS, DevSecOps, and Agile methodologies. The core responsibilities are in software engineering, not direct AI/ML model development. | — | 5 |
| Data Scientist I Data Scientist I role focused on applying ML and statistical modeling to solve business problems, manage data science projects, and provide insights for industrial applications at Honeywell. | Data | 5 |
| Data Scientist II Develops and implements advanced data analytics models and algorithms using machine learning, statistical modeling, and data analysis techniques to solve complex business problems and provide actionable insights for the industrial domain. | Data | 5 |
| Advanced Data Engineer Honeywell's VECE COE is building an AI-Ready data platform to power advanced analytics and AI-driven decision-making. This Senior Data Engineer will architect and build end-to-end data pipelines using Azure Databricks, transforming raw data into analytics-ready assets for downstream AI/ML consumption. The role focuses on data ingestion, modeling, orchestration, and governance, emphasizing building and delivering pipelines rather than maintenance. | Data | 5 |
| Sr Advanced Software Engr Senior Python Engineer with 9+ years of experience in cloud-native, microservices, and backend systems. The role involves integrating Agentic AI capabilities into product development, building AI-powered workflows using LLM orchestration frameworks, and contributing to multi-agent pipelines. Requires expertise in Python, Django, Celery, cloud platforms (AWS/GCP/Azure), and database tuning. Experience with Agentic AI frameworks like LangChain/AutoGen and RAG pipelines is a plus. | Agent | 5 |
| Software Engr II Software Engineer with 3+ years of experience in .Net and Angular, responsible for designing, implementing, testing, and debugging complex software solutions. The role involves mentoring junior colleagues, managing end-to-end processes, and collaborating with cross-functional teams. Requires proficiency in C#, Angular, SQL, and experience with AI-assisted development tools and consuming AI/ML APIs. | — | 5 |
| Embedded Engr II The Test Engineer will own end-to-end testing of an industrial autonomous solution for oil & gas well operations. This involves validating software, hardware, controls, and analytics in real operational environments, ensuring safety, reliability, and performance. Responsibilities include defining test strategy, performing various types of testing, validating autonomous use cases, and ensuring product quality meets industrial standards. | Ship | 5 |
| Advanced Software Engr Software Engineer focused on quality and testing for cloud-based products, with specific experience in Agentic AI, AI testing, and model-based testing. The role involves developing automation frameworks and ensuring the quality of new features within a cloud platform offering. | Agent | 5 |
| Sr Advanced SW Architect This role focuses on architecting and overseeing the AI model lifecycle from experimentation to production deployment, including monitoring performance, drift, and latency. It also involves driving security by design, DevSecOps practices, and cloud-native architectures for complex software systems. | ServePost-train | 5 |
| Advanced Software Engr This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof-of-concept development. The role involves full-stack development, API design, microservices architecture, and CI/CD practices, while also exploring and integrating GenAI capabilities. | Data | 5 |
| Advanced Software Engr This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof of concept development. The role involves full-stack development, API design, cloud-native architecture, microservices, and CI/CD practices, while also exploring and integrating GenAI capabilities. | Data | 5 |
| Director Cyber Sec Director of Cybersecurity Software Engineering & AI responsible for leading the design, development, and delivery of innovative software solutions that modernize cybersecurity operations, eliminate inefficiencies, and amplify the capabilities of the cybersecurity organization through intelligent automation and AI-driven tooling. This individual will lead a small, high-performing engineering team in designing, building, and maintaining secure, scalable, and intelligent software solutions that directly advance the organization’s cybersecurity mission and operational efficiency objectives. | Agent | 5 |
| Advanced Systems Engr This role focuses on applying AI-driven operational optimization solutions for industrial customers (Chemical, Oil & Gas, etc.) using Honeywell's Experion DCS system. The engineer will act as a Subject Matter Expert, bridging process engineering and digital/analytical skills. Responsibilities include leading customer workshops to define problems, analyzing process data, validating AI model strategies and outcomes with Data Scientists, and assisting with deployment and testing of solutions. The role requires strong process engineering knowledge, experience with DCS systems, and the ability to translate between process operations and data science. | Agent | 5 |
| Director Software Eng Director of Software Engineering at Honeywell, focusing on leading innovation and idea incubation for industrial, buildings, and security domains. The role involves guiding teams in adopting emerging technologies like AI/ML and GenAI, ensuring solutions are scalable, secure, and production-ready, with a strong emphasis on domain-specific constraints and regulatory compliance. The primary output is the successful transition of incubated ideas into scaled product platforms or enterprise delivery models. | Ship | 5 |
| Advanced Chemical Engr (Digital Exec Tools Specialist’) This role focuses on developing and implementing tools and processes for digital project execution within Honeywell UOP's Digital Services business. The specialist will ensure quality, consistency, and standardization in digital offerings, partnering with engineering and architecture teams to solve operational problems and drive automation. While the role leverages AI/ML for insights and requires an understanding of data science and ML programming, its core function is in tool development, process standardization, and automation for digital project execution, rather than direct AI/ML model development or research. | — | 1 |
| Project Mgmt Specialist II This role focuses on the delivery and strategy of Salesforce solutions within the Honeywell enterprise, involving platform management, roadmap development, and solution optimization. It requires experience in Salesforce administration, development (Apex, Visualforce, Lightning components), DevOps solutions, and understanding of cloud computing and security. The position emphasizes collaboration with business units and IT teams to ensure systems meet business requirements and align with enterprise IT strategy. | — | 0 |
| Software Engr II Software Engineer II at Honeywell's Tridium division, focusing on developing and testing new software and services for the Niagara Framework, an IoT software framework for managing smart devices. The role involves full lifecycle software development in an Agile environment, with a strong emphasis on Java development and software architecture. | — | 0 |