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, eliminating deployment friction, and accelerating customer time-to-value.
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.
