Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.
KEY RESPONSABILITIES :
- 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.
MUST HAVE :
BS degree in Computer Science or equivalentMinimum of 15 years relevant industry experience (software) in system architecture and / or design and developmentTechnical leadership experience in architecting cloud applications on Azure, GCP or AWSDeep technical expertise in data platforms, machine learning along with experience in AI and implementing concepts like MLOPS / AutoML / Generative AIExcellent interpersonal / communication skillsDeveloping and maintaining technical standards for architectural practices within the organizationMonitor and evaluate new technologies and trends to identify opportunities for improvement and innovationIdentifying 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 preferredWe value experience with generative AI and LLMs, agentic AI application architecturesDomain experience in Industrial automation with experience is Asset reliability, SCADA, DCS and MES systemsFamiliarity with DevOps practices, including CI / CD, infrastructure as code, and automated testing.Understanding of performance optimization techniques, both for backend and frontend systems.