Cloud Solution Architect – Enterprise AI Infrastructure & FinOps
Zydusgroup · Corporate Office|Corp. Office, Ahmedabad, Gujarat , India (CORP|CORP|Ahmedabad) · On-site
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We are looking for a Cloud
Solution Architect whose primary responsibility is to design, build, manage,
and optimize the enterprise cloud infrastructure that runs our AI
ecosystem.
Job Description:
Role: Cloud Solution
Architect – Enterprise AI Infrastructure & FinOps
Experience: 12–18 years total, with at least 6 years in cloud
architecture and at least 3 years architecting production AI/ML or GenAI
platforms
Domain: Enterprise AI Platform (Pharma / Life Sciences, GxP-aware)
Education: B.E./B.Tech in Computer Science, Information Technology,
Information Security, Electronics & Communication, or related Engineering
disciplines.
Location: Ahmedabad/Mumbai
Role Summary
The individual hired as Cloud
Solution Architect will be responsible for cloud foundation end to end: landing
zones, networking, compute, storage, identity, security, Kubernetes platforms,
GPU capacity, infrastructure-as-code, monitoring, resilience, and day-to-day
infrastructure operations.
The role will ensure that AI and
GenAI workloads operate securely, reliably, and at scale while driving cloud
governance, operational excellence, and FinOps practices to maintain
transparency, control, and optimization of cloud and AI spending.
This is a hands-on infrastructure
leadership role. Application and AI engineering teams build agents and
workflows; you make sure the platform they run on is secure, stable, scalable,
compliant, and cost-efficient.
Key Responsibilities
1. Cloud Infrastructure
Architecture
Own the enterprise cloud infrastructure
architecture on Azure, AWS, and/or GCP , including multi-cloud and
hybrid designs.
Design and maintain enterprise landing zones :
management group and account/subscription structure, policies, guardrails,
naming and tagging standards, and environment separation (dev, test,
validation, production).
Architect network infrastructure :
hub-and-spoke or Virtual WAN topologies, VNets/VPCs, subnets, private
endpoints, DNS, load balancers, application gateways, WAF,
ExpressRoute/Direct Connect, site-to-site VPN, and hybrid connectivity to
data centers and manufacturing sites.
Design compute platforms across VMs, VM scale sets,
containers, Kubernetes (AKS, EKS, GKE) , serverless (Functions,
Lambda, Cloud Run), and managed PaaS services.
Architect storage and database infrastructure:
object storage, file shares, managed disks, backup vaults, and managed
databases (SQL, PostgreSQL, Cosmos DB, DynamoDB, Redis).
Design for high availability, multi-region
resilience, disaster recovery, and business continuity with defined
RTO and RPO targets.
Maintain architecture documentation, reference
designs, and architecture decision records (ADRs).
2. Cloud Infrastructure
Management and Operations
Own the day-to-day health, stability, and
performance of cloud infrastructure supporting AI and enterprise
workloads.
Lead infrastructure provisioning, configuration,
patching, upgrades, and…