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. Program Manager AI The Senior Project Manager (AI Transformation) role is responsible for implementing and adopting AI tools across the organization, leading an upskilling initiative to build an AI culture, define key AI roles, and deliver role-based AI trainings. The role partners with leaders to translate the AI transformation roadmap into measurable business outcomes and scaled change adoption. | — | 5 |
| Lead Technical Product Owner Lead Technical Product Owner for Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) Advanced Tech team, focusing on driving AI/ML solutions to meet revenue targets. This role involves defining AI product requirements, conceptualization, feature scaling, and roadmap prioritization by collaborating with engineering, SMEs, and business stakeholders to improve product cost, component strategy, and reuse. | Ship |
| 5 |
| Application/Sys Sales Eng I Application/Systems Sales Engineer for industrial pumps, focusing on preparing technical proposals and supporting sales channels. Requires strong engineering background, customer communication, and knowledge of industry standards like API 610. | — | 0 |
| Sr Adv Proj Mgmt Specialist Project Management Specialist role at Honeywell focused on New Product Introduction (NPI) for industrial automation and process automation engineering teams. Responsibilities include defining project scope, managing schedules, leading cross-functional teams, managing budgets and risks, and reporting on operational metrics and KPIs. Requires experience in NPI engineering project management, understanding of business processes, and familiarity with project management tools and methodologies like Agile/Scrum. | — | 0 |
| Sr Customer Mktng Specialist Product Marketing Specialist for Honeywell Process Automation's autonomous and AI products. Responsibilities include developing product positioning strategy, market research, creating marketing materials for sales enablement, and driving product awareness. The role involves translating technical capabilities into customer value and collaborating with Product Managers, sales, and customer support teams. | — | 0 |
| Exp Cust Supp Mgt Professional(Delivery Consultant) This role is for a Delivery Consultant at Honeywell (Sparta Systems) focused on implementing their Quality Management Software (QMS) SaaS solution. Responsibilities include analyzing customer requirements, configuring software, managing project delivery, and mentoring junior colleagues. Familiarity with Agile, user stories, and Salesforce is preferred. | — | 0 |