This role focuses on designing, developing, and deploying Generative AI and Agentic AI systems, including building AI agents using orchestration frameworks and operationalizing AI at scale on cloud platforms with MLOps best practices. The role involves architecting end-to-end AI pipelines, deploying models, and ensuring monitoring and observability.

Sr. Advanced AI Software Engineer at Honeywell responsible for designing, building, and deploying advanced AI/ML systems, including LLMs and generative AI, end-to-end. The role involves architecting scalable solutions, leading model optimization and evaluation, driving MLOps practices, and providing technical leadership.

Director of System Architecture & AI at Honeywell, responsible for leading architectural design of complex software systems, driving technical product management, and incorporating AI technologies into AI-first products. Requires extensive experience in system architecture, hardware/firmware/software development, and AI technologies.

Develops and implements AI algorithms, models, and systems, collaborating with cross-functional teams to integrate AI solutions into existing systems and processes, ensuring scalability, efficiency, and robustness. Focuses on refining AI models and improving performance through experimentation and analysis.

Lead Data Engineer role focused on architecting and owning data foundations for industrial AI and Generative AI pipelines, including IoT telemetry, medallion lakehouse, vector stores, embedding pipelines, and RAG workflows. The role involves technical leadership, mentoring, and collaboration with data scientists and AI engineers.

Lead AI Engineer role at Honeywell, focusing on developing and implementing AI solutions for industrial applications. Responsibilities include leading a team, designing algorithms, and collaborating with cross-functional teams.

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.

Lead hands-on development and deployment of Edge AI solutions, focusing on model optimization and MLOps pipelines for embedded platforms with GPUs/AI accelerators.

AI Engineer II at Honeywell, responsible for developing and implementing AI algorithms, models, and systems to solve complex business problems and integrating them into existing systems. Focuses on refining AI models through experimentation and analysis.

This role involves designing, building, evaluating, and integrating AI/ML models and analytical components, with a focus on generative AI, LLMs, and multi-modal embeddings for security applications. The data scientist will be responsible for data engineering, developing new generative AI systems, and deploying analytical systems that improve security outcomes, potentially involving agentic patterns and frameworks.

Senior Data Engineer at Honeywell focused on building scalable data pipelines and architectures for industrial AI solutions, with an emphasis on IoT data, RAG systems, and supporting the AI product lifecycle. The role involves significant work with Databricks, PySpark, and cloud platforms (Azure, GCP).

Lead Data Engineer on the Industrial AI & Data Platforms team, responsible for architecting and owning data foundations for physical AI at scale, including IoT sensor telemetry and Generative AI pipelines. This role involves technical leadership, building AI-ready data products like vector stores and RAG workflows, and mentoring engineers.

Director Architect role focused on designing and leading the development of embedded AI-first technology solutions within an industrial context. Responsibilities include team leadership, technical product management, and ensuring scalability, security, and compliance of distributed architectures that incorporate AI.

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.

Software Engineer I at Honeywell's Sparta Systems, focusing on building and enhancing Salesforce-based solutions for Quality Management platforms. The role involves designing, developing, and optimizing features using Salesforce Apex, contributing to solution architecture, and integrating with AWS backend systems. The engineer will also develop and maintain AI applications and components within the Salesforce ecosystem.

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.

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.

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.

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 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.

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.

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.

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 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.

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.

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.

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.

Quality Control Inspector at Honeywell responsible for testing raw materials, in-process production, and finished products using laboratory instrumentation. The role involves data reporting, escalating quality issues, assisting in root cause analysis, and recommending process improvements. Requires ability to read complex procedures, use computers and Microsoft Office, understand lab fundamentals and QA practices, and perform physical tasks like lifting and climbing.

This role leads engineering operations, focusing on strategic alignment, operational excellence, and execution across global teams. It involves managing the New Product Introduction (NPI) process, optimizing resources, and driving improvements through automation, digitalization, and AI opportunities. The role requires strong leadership, project management, and data-driven insights to ensure engineering investments translate into business outcomes.

This role manages the operations of an Enterprise Data Warehouse and related consumption tools, focusing on data products, BI platforms, and data agents. It involves leading a team, establishing best practices, and driving continuous improvement in data analytics.

This role is a Sr. Technical Sales Engineer for Data Centers and Building Automation, focusing on engaging with customers, identifying their needs, and recommending Honeywell solutions. It involves technical expertise, collaboration with sales teams, and understanding building codes and regulations. The role is sales-incentive eligible and requires a strong technical background in sales engineering and systems engineering.

Strategic Sourcing Manager role focused on optimizing procurement strategy, supplier relationships, and cost/quality/delivery performance for direct materials in an industrial setting. Responsibilities include overseeing procurement activities, managing buyers, developing supplier strategies, driving contract negotiations, evaluating supplier risks, and improving procurement operations. Requires extensive experience in procurement, supply chain management, negotiation, and contract management, with a strong knowledge of machining processes and supplier evaluation.

Senior Director of Software Engineering for Honeywell's Life Sciences division, responsible for technology strategy, innovation, digital transformation, and leading a global engineering team to deliver cutting-edge solutions.

Senior IT Analyst role focused on SAP Security, S/4HANA implementations, ERP & GRC upgrades, and BTP Security & IAG. Requires in-depth knowledge of S/4HANA role design, user administration, audit compliance, licensing optimization, and GRC/IAG implementation. Responsibilities include designing secure systems, mitigating risks, ensuring compliance, and providing L2/L3 support.

Senior Advanced Field Service Engineer for UOP (Honeywell) focused on inspecting the mechanical integrity of process equipment in refineries, petrochemical plants, and fabrication shops to ensure safety, reliability, and compliance with codes and standards. Responsibilities include physical inspection, assessing equipment condition during turnarounds, shop inspections, and writing detailed reports. Requires extensive travel.

Senior Advanced Project Engineer at Honeywell to lead complex, cross-functional software product development initiatives from concept through launch, ensuring on-time delivery, technical excellence, and high-quality customer outcomes for the Connected Buildings Platform.