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.

Lead R&D Engineer/Scientist focused on developing process performance data analytics and connected digital solutions for industrial applications, optimizing commercial operations and profitability. The role involves leading technology development programs, coordinating cross-functional teams, and identifying new approaches in data science and machine learning.

This role is a Technical Solutions Consultant at Honeywell, focusing on industrial sectors. The primary responsibilities involve consulting with customers, developing and presenting solutions leveraging Honeywell's industrial software portfolio, leading diagnostic workshops, and supporting business development. While the role requires knowledge of AI and advanced software solutions, its core function is customer-facing product consultation and solution selling, not direct AI/ML model development or deployment.

This role focuses on architecting and overseeing the AI model lifecycle from experimentation to production deployment, including monitoring performance, drift, and latency. It also involves driving security by design, DevSecOps practices, and cloud-native architectures for complex software systems.

Seeking a Smart City Technical Lead in Abu Dhabi to design and oversee the architecture of a comprehensive smart city platform, integrating various systems, managing data flows, and ensuring security and compliance. The role involves technology evaluation, stakeholder collaboration, and technical team management.

This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof-of-concept development. The role involves full-stack development, API design, microservices architecture, and CI/CD practices, while also exploring and integrating GenAI capabilities.

This role focuses on designing, developing, and maintaining scalable software solutions, with a specific emphasis on leveraging Microsoft Azure services and contributing to GenAI enabled solutions through experimentation and proof of concept development. The role involves full-stack development, API design, cloud-native architecture, microservices, and CI/CD practices, while also exploring and integrating GenAI capabilities.

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.

Software Engineer with full-stack .Net and Angular experience, focusing on designing, implementing, and testing scalable applications. The role involves database management, cross-functional collaboration, and staying updated with industry trends. A key aspect is the use and integration of AI-assisted development tools and AI/ML-powered APIs, indicating an exploratory engagement with AI technologies within a traditional software engineering context.

Software Engineer with full-stack .Net and Angular experience, seeking to leverage AI-assisted development tools and integrate AI/ML APIs into applications. Role focuses on traditional software development with an exploratory approach to AI integration.

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.

Senior Technical Writer at Honeywell, responsible for creating and maintaining technical documentation for Building Automation products. The role involves collaborating with agile teams, producing visual aids, and ensuring documentation standards are met. Requires 5+ years of experience in technical writing and a relevant degree or equivalent experience. Familiarity with AI tools for content development is a plus.

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.

Lead SRE role focused on reliability, scalability, and performance of production systems, including AI-enabled services. Responsibilities include defining SRE standards, automation, cloud infrastructure management, operationalizing ML workloads, incident management, and mentorship. Requires expertise in cloud, observability, CI/CD, and familiarity with ML pipelines and MLOps tools.

This role is for an Advanced Software Engineer at Honeywell, focusing on R&D for industrial automation systems. The engineer will research, design, and develop software using advanced technologies, including AI, and contribute to innovations for customers worldwide. The role requires experience in process control, advanced process control, and domain expertise in industrial sectors. The engineer will also provide customer support and participate in technical strategic planning.

This role is responsible for shaping Honeywell's multi-year platform and AI strategy, guiding investment, and driving transformation to accelerate AI adoption and scale platforms across the enterprise. It requires deep AI/technology fluency, business acumen, and the ability to influence C-suite stakeholders.

Software Engineer role focused on integrating AI/GenAI capabilities into existing software products and engineering processes, including intelligent automation, anomaly detection, and using GenAI for code generation and debugging. The role involves full software lifecycle management, collaboration with data scientists, and MLOps principles for model integration.

Seeking an experienced AI Governance & Data Privacy General Counsel to provide strategic legal guidance on AI innovation, data privacy, and enterprise risk management, enabling responsible AI adoption and compliance across internal operations, products, and third-party solutions in a highly regulated environment. Responsibilities include leading AI governance strategy, developing policies, advising on data governance for AI/ML, supporting AI contracting, and managing global privacy and data protection for business units.

This role focuses on assessing and evaluating the security posture of Honeywell products and partner technologies, including those that use AI/ML. Responsibilities include security services delivery, using various security toolsets, identifying security defects, and consulting on remediation. The role involves penetration testing, mentoring junior team members, and championing product security initiatives. While AI/ML is mentioned as a domain for security testing, the core function is cybersecurity engineering and assessment, not building AI models.

Develops and implements advanced data analytics models and algorithms using machine learning, statistical modeling, and data analysis techniques to solve complex business problems and provide actionable insights. Manages end-to-end data science projects, mentors junior colleagues, and contributes to the strategic vision of the Data Science team. Focuses on optimizing processes, reducing costs, and identifying growth opportunities.

Seeking a Senior Software Engineer with full-stack .Net and Angular experience to develop software solutions. Responsibilities include overseeing team tasks, managing projects, mentoring junior colleagues, designing and implementing applications, database management, testing, debugging, and collaborating with cross-functional teams. The role requires experience with AI-assisted development tools, understanding of AI-powered code analysis, basic knowledge of LLM capabilities, and the ability to integrate AI/ML APIs.

Seeking a Senior Software Engineer with full-stack .Net and Angular experience to develop software solutions. Responsibilities include overseeing team tasks, managing projects, mentoring junior colleagues, designing and implementing applications, database management, testing, debugging, and collaborating with cross-functional teams. The role requires experience with AI-assisted development tools, understanding of AI-powered code analysis, basic knowledge of LLM capabilities, and the ability to integrate AI/ML APIs.

Software Engineer focused on quality and testing for cloud-based products, with specific experience in Agentic AI, AI testing, and test automation within an enterprise context.

Director of Software Engineering at Honeywell, focusing on leading innovation and idea incubation for industrial, buildings, and security domains. The role involves guiding teams in adopting emerging technologies like AI/ML and GenAI, ensuring solutions are scalable, secure, and production-ready, with a strong emphasis on domain-specific constraints and regulatory compliance. The primary output is the successful transition of incubated ideas into scaled product platforms or enterprise delivery models.

The Principal Software Architect will lead the design, development, and operationalization of buildings ontologies and taxonomies to power data interoperability, analytics, and intelligent systems. This role involves working with domain modeling, semantic technologies, and standards, and collaborating with domain experts, data engineers, platform architects, and product teams. Key responsibilities include designing and maintaining industrial ontologies, aligning with industry standards (Brick Schema, Project Haystack, ASHRAE 233P, IFC), defining concept hierarchies, and leveraging LLMs for ontology population and entity extraction. The role also involves mapping concepts across heterogeneous data sources, ensuring interoperability, and defining best practices for ontology governance. Strategic responsibilities include defining the technical vision for the enterprise semantic and knowledge graph platform and establishing architectural standards. The role requires deep, hands-on experience in ontology engineering, strong knowledge of specific standards, and expertise in semantic web technologies and graph databases.

Senior Advanced Software Architect at Honeywell focusing on cybersecurity architecture, threat strategy, and technical direction. The role involves leading the design and review of secure software architectures, researching emerging technologies like AI/ML, analyzing cybersecurity threats, and ensuring security best practices are integrated into systems. Requires strong software development experience in cybersecurity and a solid understanding of cloud and microservice architectures. Experience coding AI/ML pipelines is a plus.

This role is for a Principal HCM Analytics specialist at Honeywell, focusing on designing and implementing data warehousing solutions, creating visualizations, and ensuring data security within the Oracle HCM domain. The role involves leading analytics projects, driving the analytics team, and utilizing tools like Oracle HCM, Oracle Fusion Data Intelligence, OTBI, and BIP Reporting. A key responsibility is the implementation of predictive models and AI/ML algorithms, though the core focus remains on data warehousing and BI administration within the HR domain.

Director IT role at Honeywell Building Automation, focusing on IT strategy and digital solutions deployment. The role involves partnering with business leaders to define and execute digital transformation strategies, with a specific emphasis on leveraging AI for business growth and efficiency. Responsibilities include software strategy, people leadership, delivery excellence, sales-to-revenue transformation, and integration of systems like CRM and ERP. Requires expertise in AI, cloud transformation, IoT, and project management systems.

This role focuses on developing and implementing Generative AI/UX for AI/ML capabilities within Honeywell's User Experience (HUE) community. The Director will promote system thinking, storytelling, and usability testing, and collaborate with various Honeywell functions. Key responsibilities include establishing usability testing frameworks, identifying opportunities for data visualization techniques to improve interpretability through design, overseeing co-creation workshops, and promoting an end-to-end user experience strategy. The role requires significant experience in leading user research and/or experience design, with a Master's or advanced degree in a related field. Experience bringing an AI product to market is a plus.

The role involves working on a thesis (Bachelor's or Master's) in the field of Production Intelligence within the Advanced Manufacturing Engineering (AME) department. The focus is on developing modern software and automation solutions for future production, including digitalization, process optimization, MES integration, and scalable test/automation systems. The work will involve modern IIoT technologies, Industry 4.0 concepts, Industrial AI, and industrial communication standards. Specific thesis topics include developing a test stand for smart product parameterization, conceptualizing a new leak testing system, and developing a concept for automated palletization of gas meters. The role requires a background in Computer Science, Electrical Engineering, Mechatronics, Data Science, or Industrial Engineering, with an affinity for digitized production and automation programming. Knowledge of industrial communication protocols, SQL/NoSQL databases, MES systems, or edge/cloud platforms is beneficial. The position is a paid internship for 6-12 months.

Product Marketing Specialist for Honeywell Process Automation's autonomous and AI products. Responsibilities include market research, product positioning, developing marketing materials, and supporting sales enablement. The role translates technical capabilities into customer value and focuses on go-to-market strategy and market adoption.

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.

Design, deploy, and maintain high-performance computing (HPC) environments for advanced data processing and computational workloads, optimizing system performance, scalability, and reliability to support engineering and research teams.

Senior DBA responsible for Oracle database development, architecture, and operations, focusing on establishing a solid foundation for innovation, performance, reliability, and scalability across on-prem and public cloud solutions. The role involves managing Oracle environments, driving stability initiatives, mentoring junior DBAs, and ensuring compliance with regulatory requirements.

New graduate Embedded Engineer I role focused on the design, development, and testing of embedded software and firmware for life safety products (sensors/devices for detectors). Requires C/C++ embedded programming and firmware experience for microcontrollers.

This role is for a Principal IT Architect focused on cloud architecture and operations, specifically within Microsoft Azure, AWS, and GCP. The responsibilities include shaping cloud strategy, developing roadmaps, leading the design and implementation of scalable cloud solutions, and managing cloud network troubleshooting and operations. The role requires deep technical expertise in cloud platforms and networking, strategic thinking, and leadership skills.

This role is for an Advanced Software Engineer focused on technical support for PLC-controlled machines and subsystems. Responsibilities include troubleshooting, root cause analysis, customer support, and debugging software defects for material-handling control systems. Requires a Bachelor's degree in Engineering or Computer Science and at least 5 years of professional experience, with specific experience in PLC programming, electrical schematics, and customer support.

This role focuses on data migration and integration for ERP deployments, primarily using Informatica and SAP. While it mentions AI/ML capabilities as a plus, the core responsibilities are traditional data engineering and ETL.

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.

The Communications Director will be responsible for developing and executing internal and external communication strategies for Honeywell in Germany and continental Europe, focusing on telling the company's automation technology stories. This role requires strong media relations, message development, and executive positioning skills, with a mandate to champion AI within the Communications space.

Field Service Engineer for Building Automation Systems (BAS) focusing on HVAC, fire, and security systems in commercial facilities. Responsibilities include system commissioning, installation, troubleshooting, and integration with third-party systems. Requires significant experience with HVAC control systems and building systems programming.

This role focuses on developing and executing enterprise-wide software and ARR growth strategies, accelerating the transition to recurring revenue models. It involves identifying value from installed bases, leveraging digital and software capabilities (including AI-enabled operations), and supporting the development of next-generation business models. The position requires a strong background in strategic planning within a software and ARR-driven environment.

This role is for a Sr. Communications Manager at Honeywell, focusing on telling the company's brand story related to energy and automation technology in India and APAC. The position involves developing and executing internal and external communication strategies, message development, executive positioning, and media relations. While the role mentions championing AI within communications, its core function is not directly building or researching AI models or systems.

This role focuses on debugging and root cause analysis of hardware and software failures in electronic products within a manufacturing and validation context. It involves using diagnostic tools, collaborating with cross-functional teams, and improving debugging processes. While AI-driven tools are mentioned as a support, the core function is traditional electronics engineering and troubleshooting.

Seeking a Senior/Advanced Technical Product Owner for large-scale operational software platforms used in physical environments like buildings and facilities. The role requires a strong understanding of building and operational systems or related domains, and the ability to work hands-on with engineering teams on complex, distributed software products. The focus is on translating real-world operational needs into scalable product requirements, owning platform-level capabilities, and ensuring solutions are reliable, safe, and support human-in-the-loop operation. Experience with operational, real-time systems and system-level topics is essential. Exposure to analytics or AI-enabled features is desirable.

This role focuses on advanced data engineering and architecture, designing and building scalable data pipelines, performing statistical analysis, and developing intelligent solutions for supply chain data. It involves working with cloud platforms, data warehouses, and various data engineering tools, with a strong emphasis on data quality, governance, and collaboration.

Software Engineer II at Honeywell's Tridium division, focusing on developing and testing new software and services for the Niagara Framework, an IoT software framework for managing smart devices in industrial and building automation. Requires a Bachelor's degree in CS/CE, 3-5 years of software engineering experience, and 4 years of Java development.