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, with 162 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $99k–$124k (avg $112k).
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 |
| 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 |
| 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 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 |
| 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 |
| 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 |