Honeywell
Industrial · Industrial
- HQ
- Charlotte, US
- Founded
- 1885
- Size
- 95,000+
- Website
- honeywell.com
Industrial · Industrial
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.
Currently tracking 49 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $99k–$124k (avg $112k).
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 |
| 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 |
| 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 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |