The role operates at the intersection of technology strategy, product discovery, domain‑driven design, and engineering execution, driving rapid experimentation, applied innovation, and technical excellence while respecting real‑world operational, security, and regulatory constraints . The role is expected to be hands-on with 40% time dedicated to Software Development and the rest on the remaining responsibilities.

Own the end‑to‑end lifecycle of idea incubation from problem discovery and hypothesis framing to prototyping, validation, and graduation or termination.

Ensure early‑stage experimentation incorporates domain realities from Buildings, Security, and Industrial contexts, avoiding innovation that cannot transition to real deployments.

Guide teams in selecting and applying emerging technologies including cloud‑native platforms, SaaS, AI/ML, GenAI, IoT, and edge computing.

AI SDLC + SW Engineering Skills

End-to-End AI Lifecycle : Data → model → deployment → monitoring

MLOps / LLMOps + CI/CD : Pipelines, versioning, automated deploy & testing

Data & Model Engineering : Data pipelines + LLMs/RAG + model optimization

Software Engineering Fundamentals

Clean code, testing

Cloud-native Architecture : Kubernetes, Docker, scalable AI services

Buildings (commercial buildings, campuses, multi‑site operations, 24×7 uptime expectations)

Security (cybersecurity, privacy, regulatory compliance, secure‑by‑design principles)

Drive domain‑driven design practices so incubated solutions reflect real operational workflows, asset models, and system boundaries.

Has led engineering innovation for software platforms that integrate with Building Management Systems (BMS) such as HVAC, lighting, energy, fire, and life‑safety systems.





Ensure incubated solutions support multi‑site and multi‑tenant building deployments and can scale reliably beyond pilot environments.

Drive interoperability across heterogeneous OT devices, protocols, and vendor ecosystems common in building environments.

Ensure experimentation and pilots account for continuous operations and minimal disruption expectations in live buildings.

Own security‑by‑design and privacy‑by‑design accountability across all incubated software initiatives.

ANSI/ISA‑62443) and enterprise security policies.

Ensure compliance with data protection and privacy regulations (e.g., GDPR) and completion of required Privacy Impact Assessments (PIA) prior to graduation of incubated solutions.

Partner closely with Security, Legal, and Compliance teams to ensure incubated ideas are viable in regulated environments.

Led incubation of software solutions for industrial and OT‑centric environments, including manufacturing, energy, and process industries.

Ensure platforms can integrate with industrial control systems (ICS) such as SCADA, PLCs, edge devices, and legacy systems.

Drive architectures that support deterministic performance, high‑frequency telemetry, and near‑real‑time decision support where required.

Ensure solutions are designed for long asset lifecycles, staged rollouts, and controlled upgrade windows typical of industrial customers.





Organization & Talent Leadership

Develop engineering managers and tech leads capable of balancing experimentation speed with technical rigor and domain responsibility.

Collaborate with Product, UX, Data, OT, and Business leaders to align incubated ideas with strategic priorities and domain realities.

Ensure disciplined execution through lightweight governance, clear decision points, and risk transparency.

Own budget, capacity planning, and vendor strategy for innovation initiatives.

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

15+ years of software engineering experience with 5+ years in senior engineering leadership roles.

Robust technical depth in modern software architectures and distributed systems.

Preferred Experience & Skills

Experience with Buildings, Industrial, SaaS, or platform‑based businesses.

Exposure to OT environments, cybersecurity, or regulated systems.

Experience with AI/ML, GenAI, data platforms, IoT, or edge ecosystems.

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

📌 Software & Automation Manager (Bengaluru)
🏢 Honeywell Technology Solutions Lab
📍 Bengaluru