Senior Azure Solutions Architect - Enterprise AI Applications

JOB DESCRIPTION

We are seeking a Senior Azure Solutions Architect to define end-to-end architecture for enterprise AI applications and agent-based solutions. This role requires a hands-on architect who can connect Azure infrastructure, Container Apps, networking, Entra ID, security, APIs, MCP and AI services into a coherent production architecture.

Key Responsibilities:

• Define end-to-end architecture for enterprise AI applications and agent-based solutions.
  
• Design Azure infrastructure and application-hosting architecture using Azure Container Apps and supporting services.
  
• Define secure networking using VNets, subnets, peering, private endpoints, private DNS and controlled ingress and egress.
  
• Architect Entra ID authentication, app registrations, managed identities, OAuth flows, RBAC and service-to-service security.
  
• Design reusable MCP architecture, including tools, actions, schemas, access boundaries, observability and error handling.
  
• Architect secure API integrations with Oracle HCM, ServiceNow, Microsoft 365 and other enterprise platforms.
  
• Design Generative AI and agentic solutions using Azure AI services.
  
• Define controls for security, privacy, Responsible AI, monitoring, auditability, retention and resilience.
  
• Produce reference architectures, architecture standards and reusable design patterns.
  
• Lead options analysis and document technical decisions, risks and trade-offs.
  
• Create architecture diagrams, data flows, security designs and component inventories.
  
• Lead solutions through TADR, ARB and security-review processes.
  
• Review implementation designs and resolve technical blockers with Engineering, Infrastructure, DevOps and Security teams.
  
• Work in 3pm to 12am IST shift.
  

REQUIREMENTS

Mandatory Skills & Experience:

• 9–10+ years of technology experience, including strong Azure solution-architecture experience.
  
• Demonstrable experience designing Azure solutions delivered to production.
  
• Strong experience with Azure Container Apps, Azure Storage, Azure SQL or PostgreSQL, Key Vault, Azure Monitor and Application Insights.
  
• Strong knowledge of Azure networking, including VNets, subnets, peering, private endpoints, private DNS and NSGs.
  
• Deep understanding of Microsoft Entra ID, OAuth 2.0, OpenID Connect, app registrations, managed identities and RBAC.
  
• Strong REST API, integration and API-orchestration experience.
  
• Strong understanding of Model Context Protocol, including MCP tools, schemas, authentication and authorization.
  
• Experience designing Generative AI or agentic solutions using Azure OpenAI or Azure AI Foundry.
  
• Experience with Infrastructure as Code using Bicep or Terraform.
  
• Knowledge of Azure DevOps, CI/CD, containerisation and environment architecture.
  
• Experience producing and presenting architecture through formal design-review processes.
  
• Sufficient Python/FastAPI or .NET knowledge to prototype, review and troubleshoot services.
  
• Ability to communicate architecture decisions and trade-offs to technical and non-technical stakeholders.
  

Desirable Skills:

• Oracle Fusion HCM REST API, extract or Oracle Integration Cloud experience.
  
• Experience designing MCP-based integrations with Oracle HCM or other SaaS platforms.
  
• ServiceNow and Microsoft Graph integration experience.
  
• Exposure to Copilot Studio and Power Platform architecture.
  
• Experience with Azure AI Search, RAG, vector stores and document-processing solutions.
  
• Experience designing solutions that process sensitive employee or HR data.
  
• Experience with third-party AI-agent platforms such as Lyzr Studio.
  
• Familiarity with Responsible AI and enterprise AI-governance frameworks.
  
• Certifications such as AZ-305, AI-102, AZ-500, SC-100, PL-600 or TOGAF.