About Our Client

The company is AI-native transformation tech startup building enterprise-grade platforms that enable organisations to deploy intelligent automation and agentic AI solutions within complex existing technology environments.

Job Description

- Define and own the technical vision, architecture, and multi-year roadmap for the company's platform ecosystem.
- Establish architectural principles, standards, and governance across platform components to ensure scalability, reusability, and long-term maintainability.
- Own key platform success metrics including productivity gains, adoption of platform capabilities, time-to-value, reliability, and engineering leverage.
- Lead research-to-production execution, ensuring ML and AI innovations are effectively translated into scalable platform capabilities.
- Oversee platform performance, observability, reliability, infrastructure optimisation, and inference economics at enterprise scale.

The Successful Applicant





- 15+ years of experience leading platform engineering, infrastructure, building large-scale systems, or large-scale distributed software organisations.
- Robust technical depth across enterprise integration platforms, knowledge systems, distributed architectures, and production ML environments.
- Demonstrated success building and scaling engineering teams, including managing senior engineering managers and technical leaders.
- Track record building developer-facing platforms, APIs, SDKs, or infrastructure adopted across large engineering organisations.
- Excellent executive communication skills with the ability to engage CIOs, CTOs, boards, investors, and senior customer stakeholders.

What's on Offer

- Early build-out opportunity
- Benefits like hybrid work mode and equity
- Work with founders who come from great pedigree & background

📌 Head of Platform, Enterprise AI transformation | Bangalore (Bengaluru)
🏢 Michael Page
📍 Bengaluru