Summary

Novartis architecture principles call for AI adoption guided by business value: AI is evaluated for new solutions and enhancements wherever it delivers a clear benefit, and it must be delivered on infrastructure that is secure, compliant and economically sustainable. Within Cloud & Hosting Services, AI & HPC Engineering is the single product management and delivery channel for AI infrastructure and AI use-case onboarding. The AI Infrastructure Architect sets the architecture those platforms are built to.

The role defines the reference architecture and guardrails for AI workloads across Azure, AWS and private AI environments: training and inference platforms, GPU capacity and scheduling, data pipelines and data access, model operations, logging, monitoring, cost control and lifecycle governance. It establishes the standard intake pattern by which an AI use case moves from idea to a hosted, monitored, auditable service, so that scientists and business teams get speed without the organisation inheriting uncontrolled risk.

This is an individual contributor architecture role.



Its authority comes from design quality, evidence and adoption rather than from line management.

About The Role

Key Responsibilities:

• Own the AI infrastructure reference architecture and the standards that govern training, fine-tuning, inference and retrieval-augmented patterns across public cloud and private AI hosting.
• Define the standard AI workload intake pattern, including architecture review criteria, data classification handling, workplace selection and the conditions under which a use case may go to production.
• Set guardrails for sensitive data, model access, prompt and inference logging, monitoring, resilience, retention and cost, in partnership with Security, Data Privacy and Quality.
• Design GPU and accelerator capacity patterns - shared pools, reservations, scheduling, quotas and burst to cloud - and support the associated capacity and cost models.
• Support qualif

📌 Associate Director (Hyderabad)
🏢 Novartis India
📍 Hyderabad