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 |
|---|---|---|
| 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 |
| 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 |