Lead SW Architect

• 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.