Associate Principal - Architecture

Role Description
Job Description Infrastructure Architect Azure Cloud AI Infrastructure
Role Infrastructure Architect Azure Cloud AI Platforms
Experience 15 Years
Location India Flexible
Employment Type FullTime
Role Overview
We are seeking a highly experienced Infrastructure Architect with deep expertise in Microsoft Azure Cloud and a proven track record of designing implementing and managing largescale cloud and AI infrastructures The ideal candidate will have 18 years of overall IT experience including 5 years leading AI infrastructure programs enabling enterprise AIML Generative AI and Agentic AI solutions at scale
This role will be responsible for defining cloud and AI platform strategies establishing secure and scalable AI landing zones driving infrastructure modernization and ensuring operational excellence across enterprise environments
Key Responsibilities
Azure Cloud Architecture
Design and govern enterprisescale Azure cloud architectures aligned with business security compliance and operational requirements
Lead cloud transformation initiatives including migration from onpremises and multicloud environments to Azure
Define and implement landing zones networking identity governance security resilience and disaster recovery strategies
Architect scalable IaaS PaaS container and serverless solutions leveraging Azure native services
Drive InfrastructureasCode IaC adoption using Terraform Bicep ARM Templates and CICD automation
AI Infrastructure Leadership
Design deploy and manage enterprise AI infrastructure supporting Generative AI Machine Learning and Agentic AI workloads
Build AIready cloud foundations including AI Landing Zones GPUenabled environments model hosting platforms and vector database ecosystems
Architect solutions leveraging Azure AI Foundry Azure OpenAI Azure Machine Learning Azure AI Search Azure Data Services and Azure Kubernetes Service AKS
Establish AI operational frameworks covering model deployment observability scalability security governance and compliance
Collaborate with Data Science AI Engineering and Application teams to operationalize AI solutions at enterprise scale
Governance Security
Define cloud governance RBAC identity management security baselines and compliance controls
Ensure adherence to Microsoft WellArchitected Framework principles
Drive FinOps initiatives for cloud cost optimization and resource utilization
Lead enterprise architecture reviews and executivelevel technology discussions
Leadership Stakeholder Management
Act as the technical authority for Azure Cloud and AI Infrastructure
Mentor architects cloud engineers and platform teams
Engage with client leadership enterprise architects security teams and business stakeholders
Support solutioning proposals estimations and strategic transformation programs
Required Skills
Azure Cloud
Azure Landing Zone Design
Azure Networking Hub Spoke Virtual WAN
Azure Virtual Machines
Azure App Services
Azure Kubernetes Service AKS
Azure Storage Services
Azure SQL Cosmos DB
Azure API Management
Azure Functions
Azure Monitor Log Analytics
Azure Security Center Defender for Cloud
AI Infrastructure
Azure AI Foundry
Azure OpenAI Service
Azure Machine Learning
AI Landing Zone Architecture
GPU Infrastructure Planning
Model Deployment Serving Platforms
MLOps LLMOps
AI Governance Responsible AI
Vector Databases and AI Search Platforms
Enterprise AI Platform Operations
DevOps Automation
Terraform Bicep ARM Templates
Azure DevOps GitHub Actions
CICD Pipelines
Containerization Docker
Kubernetes Administration
Preferred Certifications
Microsoft Certified Azure Solutions Architect Expert
Microsoft Certified Azure Administrator Associate
Microsoft Certified Azure AI Engineer Associate
Microsoft Certified Azure Security Engineer Associate
TOGAF SABSA or equivalent architecture certifications
Desired Candidate Profile
15 years of infrastructure and cloud architecture experience
Minimum 5 years architecting and managing AIMLGenerative AI infrastructure
Strong experience in enterprisescale cloud transformations
Expertise in cloud governance security resiliency and cost optimization
Excellent stakeholder management and executive communication skills
Experience leading globally distributed architecture and engineering teams
Nice to Have
Multicloud exposure Azure AWSGCP
Experience with Agentic AI platforms and AI orchestration frameworks
Exposure to enterprise data platforms Fabric Databricks and advanced analytics ecosystems
Target Grade P5P6 Architect Principal Architect level

Work arrangement
No