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 Advanced AI Data Engineer Senior Advanced Data Engineer responsible for designing, developing, and maintaining advanced data solutions, including building scalable data pipelines, optimizing data storage, and ensuring data quality for AI/ML consumption. The role focuses on building an AI-ready data platform using Databricks and Azure, implementing data modeling, orchestration, and governance, with a strong emphasis on enabling AI and proactive analytics. | Data | 5 |
| Advanced Mfg Engineer Sr Adv This role focuses on advanced manufacturing engineering, optimizing processes, and implementing technologies like automation and robotics. While it mentions using AI/ML for specific tasks like quality control and logistics, the core of the role is in traditional manufacturing engineering, not AI model development. | Serve |
| 5 |
| Sr Advanced Cloud Developer Senior Software Engineer / Technical Architect for Honeywell's Forge for Utilities applications in Mexico. This role leads end-to-end technical architecture, solution design, system evolution, and production reliability for cloud-native SaaS solutions. Responsibilities include platform ownership, data and analytics enablement, engineering excellence, and leveraging AI tools in the software development lifecycle. Requires 10+ years of software engineering experience, strong Azure and Databricks expertise, and experience building cloud-native SaaS applications. | — | 5 |
| Sr IT Analyst This role supports the management of global IT computer hardware service processes, focusing on the full device lifecycle from request to disposal. It involves partnering with cross-functional teams to improve efficiency through automation and emerging technologies, and supporting IT hardware needs for new hires and global users. | — | 0 |
| Manufacturing Engineer I Manufacturing Engineer I role at Honeywell, focused on supporting and improving manufacturing operations through process development, troubleshooting, and project participation. Responsibilities include ensuring product quality, safety, and efficiency, with a focus on lean principles and continuous improvement. Requires a Bachelor's degree in a technical discipline and 1-3 years of experience in manufacturing engineering. | — | 0 |
| Manufacturing Engineer I Manufacturing Engineer I role at Honeywell, focused on supporting and improving manufacturing operations through process development, troubleshooting, and project participation. Responsibilities include ensuring product quality, safety, and efficiency, with a focus on lean principles and continuous improvement. Requires a Bachelor's degree in a technical discipline and 1-3 years of experience in manufacturing engineering. | — | 0 |
| Quality Engineer II Quality Engineer II role focused on ensuring product quality and reliability through quality engineering practices, collaborating with teams to develop and implement quality control processes, conduct audits, and drive corrective actions in a manufacturing or industrial environment. | — | 0 |
| Lead IT Architect Lead IT Architect at Honeywell, responsible for designing and evolving the technology landscape, aligning architecture with business goals, and ensuring scalability, security, and compliance. Specifically, the Lead Solution Architect in the HR Technology Domain will shape the architecture for HR business processes, develop strategic roadmaps, and lead the integration of Oracle Integration Cloud and AI/ML technologies to enhance HR processes. | — | 0 |