Cloud Architect

Cloud Architect - Enterprise AI Platforms

Location : Mumbai | Onsite | Full-Time

About Network Science

At Network Science, we’re not just deploying AI — we’re building the Operating System for the Enterprise AI World. Our mission is to help global enterprises adopt, scale, and operationalize AI with precision, velocity, and measurable ROI.

To power this vision, we are seeking a Cloud Architect who can design, optimize, and future-proof our cloud-native infrastructure across multiple AI product lines — from GenAI co-pilots to multi-tenant SaaS platforms.

What You’ll Do

As Cloud Architect, you’ll be responsible for leading the design, deployment, and governance of all cloud infrastructure supporting our global product suite. You’ll work closely with engineering, DevOps, data, and AI teams to ensure our infrastructure is secure, scalable, cost-optimized, and always production-ready.

Core Responsibilities :

• Architect and manage scalable, secure, and high-performance cloud environments (AWS / GCP / Azure) for AI-powered SaaS platforms
• Define and enforce cloud architecture best practices, standards, and frameworks for multi-region deployments
• Collaborate with engineering teams to build and scale microservices, containers, and serverless systems
• Oversee cloud security controls, IAM, encryption strategies, and compliance with frameworks like SOC2, ISO 27001, and GDPR
• Design and optimize network architecture, VPC peering, VPNs, and load balancing strategies
• Work with DevOps teams to implement CI / CD pipelines, observability tools, and auto-scaling mechanisms
• Lead cloud cost optimization efforts — balancing performance with budget
• Set up and manage backup, DR, failover, and high-availability strategies
• Provide technical leadership, mentoring, and architecture governance to cross-functional teams
• Stay ahead of emerging trends in cloud-native tools, AI infrastructure, and edge compute

Must-Have Qualifications

Preferred Qualifications

Why This Role Matters

As Cloud Architect at Network Science, you will be building the invisible infrastructure that powers our AI innovation engine.

You will not just support deployments — you will enable transformation for some of the world’s leading enterprises.

This is your opportunity to build systems that are mission-critical, globally scalable, and AI-native by design.