Associate Principal - Architecture

Associate Principal - Architecture

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