Role & responsibilities
It's crucial to have a deep understanding of Azure infrastructure, including Linux &
Windows.
Design, build, and optimize Azure AI Landing Zones aligned with Microsoft Cloud
Adoption Framework (CAF) and Enterprise Scale Landing Zone architecture.
Deploy and integrate core AI platform services including Azure OpenAI, Azure AI Foundry
/ AI Studio, Azure Machine Learning / AI work ows, Vector databases (Cosmos DB,
PostgreSQL with pgvector, Cognitive Search, Redis)
Implement Enterprise Security for AI Landing Zones, including Private/OpenAI
endpoints, Key Vault, role-based access, identity isolation, Data loss prevention (DLP)
patterns for AI usage.
Azure Policy guardrails and governance.
Robust experience with Azure Landing Zones, Enterprise-scale architecture, and AI/ML
cloud infrastructure.
Build and automate Landing Zone deployments using Terraform, or Bicep.
Develop CI/CD pipelines for provisioning AI resources, AML pipelines, AKS clusters, and
integration patterns using Azure DevOps or GitHub Actions.
Automate environment creation for multiple teams working on AI development.
Strong experience with Terraform / Bicep,
Azure DevOps / GitHub Actions, AKS,
Docker, and Python.
Hands-on experience with CI/CD pipelines using Azure DevOps or GitHub Actions /
Runners
Hands-on experience with Azure OpenAI, AI Foundry, Azure Machine Learning, and
associated ecosystem services.
Deep understanding of Azure networking, identity, governance, and security.
Establish secure environment patterns for prompt engineering, model deployment,
model lifecycle management, and AI agent frameworks.
Ensure compliance with organizational and regulatory requirements when enabling
Generative AI services.
Design Discussions and Documentation: Experience in driving design discussions with
architects and application teams, as well as documenting the processes and decisions
Leadership and Team Management: The ability to lead a team and drive activities and
deliverables to closure as per schedule is key.
Customer Facing Experience: Strong communication skills and experience in customer-
facing roles are required.
Good to have - Migrate on-prem or cloud workloads to Azure AI settings
📌 Azure Infradevops Ai Bengaluru
🏢 EY
📍 Bengaluru