Job Description

R
esponsible for designing innovative SaaS solutions that suit market needs. E
nable growth of Honeywell's business through sound architecture and product design in areas of Cloud, AI and Data E
ngage with business leadership, customers, and marketing teams to define product needs for the next generation of product suites. P
artner with development teams to assure designs are successfully converted to commercial products. C
reate and own the technology roadmap to meet the business objectives of the platform strategy. B
S degree in Computer Science or equivalent M
inimum of 15 years relevant industry experience (software) in system architecture and/or design and development T
echnical leadership experience in architecting cloud applications on Azure, GCP or AWS D
eep technical expertise in data platforms, machine learning along with experience in AI and implementing concepts like MLOPS/AutoML/Generative AI E
xcellent interpersonal / communication skills D
eveloping and maintaining technical standards for architectural practices within the organization M
onitor and evaluate new technologies and trends to identify opportunities for improvement and innovation I
dentifying and implementing process improvements to enhance efficiency and effectiveness. P
roficient in frontend technologies such as React, Angular and backend technologies such as .Net, Java or Python with understanding of various databases. T

echnical Implementation & Oversight:
D

esign and implement software architectures: Design and develop scalable, reliable, and maintainable software systems. E
nsure architectural compliance: Enforce architectural standards and best practices, ensuring compliance with security, performance, and other requirements. T
roubleshoot and resolve technical issues: Investigate and resolve technical issues related to software architecture. E
valuate and select tools and technologies: Research and evaluate different tools and technologies to ensure they meet the needs of the organization. W

E VALUE:
M

asters preferred W
e value experience with generative AI and LLMs, agentic AI application architectures D
omain experience in Industrial automation with experience is Asset reliability, SCADA, DCS and MES systems F
amiliarity with DevOps practices, including CI/CD, infrastructure as code, and automated testing. U
nderstanding of performance optimization techniques, both for backend and frontend systems. H