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 |
|---|---|---|
| Data Scientist II This role involves designing, building, evaluating, and integrating AI/ML models and analytical components, with a focus on generative AI, LLMs, and multi-modal embeddings for security applications. The data scientist will be responsible for data engineering, developing new generative AI systems, and deploying analytical systems that improve security outcomes, potentially involving agentic patterns and frameworks. | Agent | 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 |
| Lead AI Engr Lead AI Engineer at Honeywell responsible for developing and implementing AI solutions, leading a team of AI engineers, and providing technical leadership. Requires strong expertise in machine learning and deep learning. | Post-train | 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 |
| 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 |
| 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 end-to-end AI development lifecycle management, collaboration with cross-functional teams, and mentorship of AI engineers. | Serve | 7 |
| Advanced Data Scientist Honeywell is seeking an Advanced Data Scientist to own end-to-end data science and machine learning solutions, from problem formulation to production deployment. This role requires expertise in machine learning, data engineering, MLOps, cloud platforms, and technical leadership, working with stakeholders to design scalable data and ML systems. Responsibilities include building NLP and GenAI applications, implementing RAG pipelines, prompt engineering, and evaluating LLM systems, alongside developing classical ML and deep learning models. The role also involves MLOps for the full ML lifecycle, deployment using APIs, and monitoring production models on cloud platforms (AWS/Azure/GCP). | AgentPost-train | 7 |
| AI Engr Develops and implements AI algorithms, models, and systems for industrial applications, collaborating with cross-functional teams to integrate solutions and ensure scalability and robustness. | Serve | 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 |
| Data Scientist II Data Scientist II role focused on leveraging Generative AI, OCR, and Computer Vision to build and deploy models and end-to-end pipelines, with an emphasis on cloud platforms and MLOps within the life sciences domain. | 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 Engr II Develops and implements AI algorithms, models, and systems for industrial applications, collaborating with cross-functional teams to integrate solutions and drive technical excellence. Requires a technical bachelor's degree and 2+ years of AI project experience with Python, TensorFlow, and PyTorch. | Post-train | 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 |
| 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 end-to-end AI development lifecycle management, collaboration with cross-functional teams, and mentorship of AI engineers. | 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 |
| Advanced AI Engr Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems, acting as a subject matter expert, and driving technical excellence in critical AI initiatives within the industrial domain. The role involves end-to-end AI development lifecycle management and collaboration with cross-functional teams and product managers. | Ship | 7 |
| Advanced AI Engr Advanced AI Engineer at Honeywell, leading the design and development of AI algorithms, models, and systems for industrial applications. Requires 3+ years of experience managing AI technology projects and mastery in machine learning. | Ship | 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 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 |
| Sr Advanced AI Engr Senior Advanced AI Engineer at Honeywell, focusing on leading the design, development, and integration of AI algorithms, models, and systems for industrial applications. The role involves technical leadership, project management, and mentorship within the AI development lifecycle, aiming to address business needs and drive technical excellence. | 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 |
| 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 |
| 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 |
| Director Architect - Embedded Experience - Solution/ Product Design Director Architect role focused on designing and leading the development of embedded AI-first technology solutions within an industrial context. Responsibilities include team leadership, technical product management, and ensuring scalability, security, and compliance of distributed architectures that incorporate AI. | Ship | 7 |
| Senior Director of Software Engineering – AI/ML & Ontology Senior Director of Software Engineering leading AI/ML and Ontology platforms, focusing on architecture, strategy, and execution of scalable, explainable AI-enabled solutions in an enterprise context. Requires deep expertise in AI/ML, ontology design, and leading senior technical teams. | Serve | 7 |
| Lead SW Architect Lead Solutions Architect for Honeywell's Forge Digital COE, focusing on industrial IoT, smart buildings, and sustainability. The role involves owning end-to-end solution architecture for Forge-aligned digital platforms, defining cloud-native standards on Azure, integrating building/energy systems, and driving R&D for Gen AI and Agentic AI use cases. Responsibilities include architectural governance, mentoring, and tracking emerging technologies. | Agent | 6 |
| Finance Manager Finance Manager role focused on commercial finance, business transition support, finance technology transformation, and applied analytics. The role will partner with sales leadership on growth and pricing, support a business line wind-down, contribute to finance systems modernization, and apply data science and AI techniques to enhance finance function insights and deliverables. Requires strong analytical depth, cross-functional partnership, and comfort with both traditional finance and emerging technology. | — | 5 |
| Advanced Software Engr This role focuses on developing and maintaining software solutions, with a specific emphasis on exploring and contributing to GenAI enabled solutions through experimentation, integration, and proof of concept development. The role involves designing and building scalable, secure, and high-performance software using .NET Framework, PowerShell, RESTful APIs, and Azure cloud services. It also includes working with microservices, containerization on AKS/ACS, data persistence, and CI/CD pipelines, while applying UI/UX principles and testing methodologies. | Data | 5 |
| Product Manager - Connected Product Manager for connected technology offerings with a focus on AI integration within the semiconductor industry. This role involves developing strategy, roadmaps, and managing the lifecycle of AI-enhanced solutions, collaborating with AI, engineering, and product teams. | Ship | 5 |
| Advanced Software Engr Senior Data Engineer with 6+ years of experience to design, build, and scale cloud-native data and AI platforms on Azure using Databricks. The role requires strong hands-on expertise in data engineering, lakehouse architecture, and AI/ML data pipelines to support advanced analytics, machine learning, and business intelligence use cases. The ideal candidate will lead complex data initiatives, collaborate closely with data scientists and ML engineers, and play a key role in shaping the organization’s data and AI strategy. | Data | 5 |
| AI Governance & Data Privacy General Counsel Seeking an experienced General Counsel to lead AI governance and data privacy strategy, providing regulatory guidance for AI products and operations within a highly regulated environment. This role involves shaping policies, advising on compliance, managing risk, and partnering with various teams to enable responsible AI adoption. | — | 5 |
| Director Engineering - User Experience Lead the transformation of User Experience (UX) across Honeywell Building Automation's global portfolio of digital and physical solutions, shifting UX from interface design to a research-driven, outcome-focused discipline. Drive the upskilling of Gen AI and UX for AI/ML capabilities, advocating for end-user co-creation and fostering an innovative and user-centered design environment. This role reports to the Chief Technology Officer. | — | 5 |
| Sr IT Architect This role is for a Sr. IT Architect at Honeywell, focusing on integrating AI/ML and GenAI initiatives into enterprise solutions, particularly for Legal and Trade systems. The architect will define end-to-end architecture, ensure alignment with business goals, establish standards, and drive the adoption of AI/ML technologies. Responsibilities include solution architecture, design reviews, building POCs, and mentoring teams, with a strong emphasis on cloud platforms and microservices. | — | 5 |
| Advanced Data Engineer - PIM Developer Advanced Data Engineer with expertise in Informatica Product 360, Master Data Management, and Data Quality. Responsibilities include leading support teams, implementing PIM updates, data model changes, and customized data quality development. The role also involves contributing to AI automation processes, machine learning applications using Python, and generative AI technologies. | Data | 5 |
| Software Engr II Software Engineer II role focused on full-stack development and delivery, with a strong emphasis on integrating and utilizing AI tools (like Copilot, Cursor, ChatGPT) to enhance engineering efficiency, problem analysis, test design, and documentation. The role involves applying AI to various development workflows and exploring new AI-driven practices to improve team productivity. Requires proficiency in programming languages and experience with modern software development practices. | — | 5 |
| 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 |
| Software Engineer I Software Engineer I at Honeywell's Sparta Systems, focusing on building and enhancing Salesforce-based solutions for Quality Management platforms. The role involves designing, developing, and optimizing features using Salesforce Apex, contributing to solution architecture, and integrating with AWS backend systems. The engineer will also develop and maintain AI applications and components within the Salesforce ecosystem. | Ship | 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 Software Engineer This role focuses on designing, developing, and optimizing software for advanced robotic systems, enhancing functionalities like perception, navigation, and autonomous decision-making. The engineer will integrate software with hardware, optimize performance, and ensure compliance with industry standards, mentoring junior engineers and leading projects. | Agent | 5 |
| Principal Software Architect Principal Software Architect to lead architecture for next-generation connected fire and life safety software platforms, focusing on cloud-native SaaS, IoT, APIs, data platforms, and AI-enabled capabilities. The role involves defining roadmaps, establishing patterns, driving modernization, improving reliability, and ensuring security, while mentoring engineers and influencing stakeholders. Experience with AI/ML platforms, GenAI, RAG, or agentic AI architectures is preferred. | Ship | 5 |