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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Lead Software Architect – AI/ML & Cloud Platforms Lead Software Architect for AI/ML & Cloud Platforms at Honeywell, focusing on hands-on software development, AI/ML systems, and scalable architecture. The role involves defining technical direction, designing and prototyping solutions, and collaborating with data scientists and engineers on ML pipelines and production-grade AI/ML systems. Key responsibilities include software architecture, AI/ML engineering, cloud platform design, and technical leadership. | ServeData | 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 |
| 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 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 |