Honeywell Connected Enterprise (HCE) is a significant business segment of Honeywell International Inc., focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. HCE leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.
Key functions and offerings of Honeywell Connected Enterprise include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing
KEY RESPONSABILITIES:
Responsible for designing innovative SaaS solutions that suit market needs.
Enable growth of Honeywell’s SaaS business through sound architecture and product design
Engage with business leadership, customers, and marketing teams to define product needs for the next generation of SaaS solutions.
Partner with development teams to assure designs are successfully converted to commercial products.
Partner with IA and BA businesses to provide products that can be successfully deployed in industrial and buildings settings.
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
MUST HAVE:
Minimum of 10 years relevant industry experience (software) in system architecture and/or design and development
Domain experience in Industrial automation, building automation, warehouse automation or similar vertical market
Technical leadership experience in architecting SaaS applications on Azure, GCP or AWS
Deep technical expertise in data platforms, machine learning and AI
BS degree in Computer Science or equivalent
Excellent interpersonal / communication skills
WE VALUE:
Masters preferred
We value experience with generative AI and LLMs, agentic AI application architectures