+ Responsible for designing innovative SaaS solutions that suit market needs. + Enable growth of Honeywell’s business through sound architecture and product design in areas of Cloud, AI and Data + Engage with business leadership, customers, and marketing teams to define product needs for the next generation of product suites. + Partner with development teams to assure designs are successfully converted to commercial products. + Create and own the technology roadmap to meet the business objectives of the platform strategy. + BS degree in Computer Science or equivalent + Minimum of 15 years relevant industry experience (software) in system architecture and/or design and development + Technical leadership experience in architecting cloud applications on Azure, GCP or AWS + Deep technical expertise in data platforms, machine learning along with experience in AI and implementing concepts like MLOPS/AutoML/Generative AI + Excellent interpersonal / communication skills + Developing and maintaining technical standards for architectural practices within the organization + Monitor and evaluate new technologies and trends to identify opportunities for improvement and innovation + Identifying and implementing process improvements to enhance efficiency and effectiveness. + Proficient in frontend technologies such as React, Angular and backend technologies such as .Net, Java or Python with understanding of various databases. Technical Implementation & Oversight: + Design and implement software architectures: Design and develop scalable, reliable, and maintainable software systems. + Ensure architectural compliance: Enforce architectural standards and best practices, ensuring compliance with security, performance, and other requirements. + Troubleshoot and resolve technical issues: Investigate and resolve technical issues related to software architecture. + Evaluate and select tools and technologies: Research and evaluate different tools and technologies to ensure they meet the needs of the organization. WE VALUE: + Masters preferred + We value experience with generative AI and LLMs, agentic AI application architectures + Domain experience in Industrial automation with experience is Asset reliability, SCADA, DCS and MES systems + Familiarity with DevOps practices, including CI/CD, infrastructure as code, and automated testing. + Understanding of performance optimization techniques, both for backend and frontend systems. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.