Honeywell

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 for the industrial domain.

This role focuses on designing, developing, and optimizing software for advanced robotic systems, enhancing functionalities like perception, navigation, and autonomous decision-making. The engineer will integrate software with hardware, optimize performance, and ensure compliance with industry standards, mentoring junior engineers and leading projects.

Principal Software Architect to lead architecture for next-generation connected fire and life safety software platforms, focusing on cloud-native SaaS, IoT, APIs, data platforms, and AI-enabled capabilities. The role involves defining roadmaps, establishing patterns, driving modernization, improving reliability, and ensuring security, while mentoring engineers and influencing stakeholders. Experience with AI/ML platforms, GenAI, RAG, or agentic AI architectures is preferred.

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.

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.

Honeywell's VECE COE is building an AI-Ready data platform to power advanced analytics and AI-driven decision-making. This Senior Data Engineer will architect and build end-to-end data pipelines using Azure Databricks, transforming raw data into analytics-ready assets for downstream AI/ML consumption. The role focuses on data ingestion, modeling, orchestration, and governance, emphasizing building and delivering pipelines rather than maintenance.

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.

Senior Python Engineer with 9+ years of experience in cloud-native, microservices, and backend systems. The role involves integrating Agentic AI capabilities into product development, building AI-powered workflows using LLM orchestration frameworks, and contributing to multi-agent pipelines. Requires expertise in Python, Django, Celery, cloud platforms (AWS/GCP/Azure), and database tuning. Experience with Agentic AI frameworks like LangChain/AutoGen and RAG pipelines is a plus.

Software Engineer with 3+ years of experience in .Net and Angular, responsible for designing, implementing, testing, and debugging complex software solutions. The role involves mentoring junior colleagues, managing end-to-end processes, and collaborating with cross-functional teams. Requires proficiency in C#, Angular, SQL, and experience with AI-assisted development tools and consuming AI/ML APIs.

The Test Engineer will own end-to-end testing of an industrial autonomous solution for oil & gas well operations. This involves validating software, hardware, controls, and analytics in real operational environments, ensuring safety, reliability, and performance. Responsibilities include defining test strategy, performing various types of testing, validating autonomous use cases, and ensuring product quality meets industrial standards.

Director of IT Software & Project at Honeywell Building Automation, responsible for IT strategy, digital solutions deployment, and leading a team. The role focuses on advancing business capabilities, driving efficiency, and enabling growth through software and AI-based solutions, with a strong emphasis on sales-to-revenue transformation and integration of CRM/ERP systems.

Lead the end-to-end architectural execution across a high-velocity, AI-forward technology organization, owning the full lifecycle from solution design through disciplined release delivery. Establish architectural standards and governance for software platforms and multi-cloud collaboration agent technologies, maintaining strategic relationships with cloud partners. This role also involves people leadership, including recruiting, developing, and retaining talent.

Software Engineer focused on quality and testing for cloud-based products, with specific experience in Agentic AI, AI testing, and model-based testing. The role involves developing automation frameworks and ensuring the quality of new features within a cloud platform offering.

Senior sales engineer for Honeywell's Connected Industrial Solutions portfolio, focusing on process automation, AI/analytics, and digital transformation in industries like Oil & Gas and Petrochemicals. The role involves opportunity development, consulting engagements, building business cases, and collaborating with cross-functional teams to drive software growth and customer outcomes.

This role leads enterprise-wide legal technology transformation, focusing on implementing and optimizing digital tools and AI-enabled solutions to improve efficiency, risk management, and business partnership within the legal function. It involves strategy, process redesign, data strategy, and change management, with a strong emphasis on governance and responsible AI.

This role is for a Sr Operations & Enablement Communication Specialist at Honeywell. The primary focus is on managing the operational backbone and scalability of a Creative and Editorial COE. This includes managing the tech stack, building self-service tools, optimizing processes, and championing AI to enhance team efficiency and effectiveness. The role requires strong project management, systems thinking, and process optimization skills, with a focus on enabling communicators to work smarter and faster.

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.

Solution Architect for a Smart City platform at Honeywell, focusing on integrating various systems, evaluating technologies (including IoT, data analytics, AI/ML), and designing scalable, secure architectures. Requires deep understanding of IoT, data analytics, big data, AI/ML principles, and smart city concepts, with 10+ years of experience.

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.

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.

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.

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.

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.

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.

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.

Lead Software Architect for Honeywell's EPMS product development, focusing on cloud-enabled energy management platforms. The role requires deep expertise in power systems and hands-on software architecture across Java, .NET, React JS, microservices, and Azure. While the core focus is on energy management systems, there is an expectation of working knowledge with AI, specifically LLMs and Agentic AI, within the context of these platforms.

This role focuses on developing and implementing tools and processes for digital project execution within Honeywell UOP's Digital Services business. The specialist will ensure quality, consistency, and standardization in digital offerings, partnering with engineering and architecture teams to solve operational problems and drive automation. While the role leverages AI/ML for insights and requires an understanding of data science and ML programming, its core function is in tool development, process standardization, and automation for digital project execution, rather than direct AI/ML model development or research.

This role focuses on the delivery and strategy of Salesforce solutions within the Honeywell enterprise, involving platform management, roadmap development, and solution optimization. It requires experience in Salesforce administration, development (Apex, Visualforce, Lightning components), DevOps solutions, and understanding of cloud computing and security. The position emphasizes collaboration with business units and IT teams to ensure systems meet business requirements and align with enterprise IT strategy.

Senior Software Engineer role focused on developing, testing, and installing software applications for access control products, including custom integrations and extensions for regulatory compliance and security. Requires C# and MS SQL Server experience.

Senior Technical Writer responsible for managing the delivery of high-quality technical software documentation to enhance customer experience and drive product adoption. This role involves planning, writing, and editing documentation, collaborating with product and technical teams, and seeking innovative solutions like video or AI tools for documentation delivery.

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. The role involves full lifecycle software development in an Agile environment, with a strong emphasis on Java development and software architecture.

Software and Test Engineer at Honeywell responsible for ensuring product quality and reliability through rigorous testing, collaborating with cross-functional teams, developing and executing test plans, identifying and troubleshooting issues, and driving continuous improvement in testing processes. Requires expertise in SQL Server, C#, Python, and Visual Basic for developing automated test scripts and tools, with travel to manufacturing sites.

Operate and maintain machine tools to produce precision parts, interpret blueprints, and inspect finished products for quality and accuracy in a manufacturing environment.

Field Service Engineer responsible for on-site technical support, maintenance, troubleshooting, and upgrade services for Honeywell Quality Control Systems (QCS), industrial control systems, instrumentation, scanners, and sensors in demanding industrial environments.

Senior Embedded Software Engineer with a focus on Embedded Linux/RTOS and QT for Life Safety products, requiring full project lifecycle understanding and toolchain management.

Software Engineer II (UI Developer) at Honeywell, responsible for designing, developing, and maintaining user interfaces using Next.js, JavaScript, and CSS. Supports backend integration with Java, Spring, Hibernate, and SQL. Focuses on creating responsive and user-friendly web applications and optimizing database interactions.

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.

Field Service Engineer responsible for on-site technical support, maintenance, troubleshooting, and upgrade services for Honeywell Quality Control Systems (QCS), industrial control systems, instrumentation, scanners, sensors, and associated hardware/software platforms. Supports customer production operations by diagnosing and resolving issues in demanding industrial environments.

Cyber Security Engineer II responsible for assessing and evaluating the security posture of Honeywell IA Products and partner technologies. This role involves delivering security testing services, including the use of various security toolsets, detection of security defects, and remediation consultation. The goal is to identify potential attack techniques and improve the product development lifecycle.

Director of Materials Management & SIOP Americas responsible for overseeing and optimizing the materials management organization and function, focusing on supply chain efficiency, cost reduction, and timely material delivery to support production schedules. Requires extensive experience in materials management, procurement, logistics, and team leadership.

This role focuses on leading IT projects, providing guidance on IT strategy, driving data-informed decision-making, analyzing IT systems, and identifying areas for improvement and innovation. The Sr IT Analyst will stay current with emerging IT trends and technologies to contribute to the organization's technology roadmap, enhance operational efficiency, and maintain a competitive edge.