About The Role

You will play a pivotal role in advancing the Honeywell Forge platform , delivering frictionless building connectivity, Agentic AI-driven autonomous building capabilities, and innovative solutions across HVAC, Energy Management, Data Centres, and Utilities verticals.

Key Responsibilities

Define and execute engineering strategy aligned with business goals, product roadmaps, and ARR growth objectives.
Lead development of enterprise SaaS platforms using .NET Core, C#, React JS, Python, Kubernetes, GKE, Redis, NATS, Neo4j, PostgreSQL, Time-Series Databases, and Data Lake technologies .
Drive the evolution of the Honeywell Forge Connectivity Platform by simplifying and automating building onboarding, eliminating deployment friction, and accelerating customer time-to-value.
Lead adoption of Agentic AI frameworks (LangGraph) and Digital Twin technologies ( NVIDIA Omniverse ) to enable autonomous building operations.
Develop intelligent agents that automate monitoring, diagnostics, energy optimization, maintenance, and operational workflows.
Drive commercial success through successful deployment of AI-powered solutions that improve customer adoption, retention, and expansion revenue.
Build scalable MLOps, AI, and data platforms supporting next-generation smart building applications.
Lead cloud-native architecture, platform engineering, DevOps, cybersecurity, and operational excellence initiatives.
Partner with Product Management, Sales, Customer Success, and Operations to translate customer needs into market-leading solutions.
Build, mentor, and develop high-performing engineering leaders and global engineering teams.

Domain Expertise

Building Management Systems (BMS)
Building Automation Systems (BAS)
HVAC Controls and Optimization
Energy Management Systems (EMS)
Smart Buildings and Connected Infrastructure
Data Center Infrastructure Management (DCIM)
Utilities and Smart Grid Solutions
Sustainability, Energy Efficiency, and Carbon Reduction

Required Qualifications

Bachelor's degree in Engineering, Computer Science, or related field.
12+ years of software engineering and product development experience.
6+ years of engineering leadership experience managing managers and large global teams.
Proven experience leading cloud-native SaaS platforms and enterprise software products.