Microsoft Azure Agentic AI Solution Architect

We are seeking an experienced Microsoft Azure Agentic AI Solution Architect to lead the architecture, design, and delivery of enterprise-grade Agentic AI and Generative AI solutions on Microsoft Azure. The architect will translate business requirements into secure, scalable, governed, and production-ready AI architectures, taking solutions from discovery and proof-of-concept through industrialized deployment and operations.

The role requires strong hands-on architecture expertise across Microsoft Foundry/Azure AI Foundry, Azure OpenAI, multi-agent orchestration, Retrieval-Augmented Generation (RAG), enterprise integrations, cloud-native Azure services, security, Responsible AI, and LLMOps/Agent Ops
.

Agentic AI & GenAI Architecture

• Design end-to-end Agentic AI architectures using Microsoft Foundry/Azure AI Foundry and Azure OpenAI.
• Define single-agent and multi-agent patterns including orchestration, planner/executor flows, memory, tool use, reflection, human-in-the-loop approvals, and agent handoffs.
• Design interoperable agent solutions using patterns and protocols such as MCP and A2A
  , where appropriate.
• Establish reusable architecture patterns for agents, prompts, tools, grounding, workflows, and enterprise integrations.
• Evaluate foundation models and orchestration approaches based on accuracy, latency, security, scalability, and cost.

RAG, Knowledge & Data Architecture

• Architect enterprise RAG solutions using Azure AI Search and governed enterprise data sources.
• Define document ingestion, chunking, embeddings, hybrid/vector search, reranking, metadata filtering, and citation/source-traceability patterns.
• Design permission-aware retrieval and secure grounding across enterprise repositories and APIs.
• Apply semantic models, knowledge graphs, ontologies, and Microsoft Fabric capabilities where they add business value.

Azure Cloud & Integration Architecture

• Design secure cloud-native solutions using Azure Functions, Durable Functions, Container Apps/AKS, App Service, API Management, Service Bus, Event Hubs, Logic Apps, Storage, Cosmos DB/SQL, and related Azure services.
• Integrate agents with Microsoft 365, Copilot Studio, Microsoft Graph, Power Platform, Service Now, enterprise APIs, SaaS platforms, and data services.
• Define event-driven and API-led integration patterns for long-running and asynchronous agent workflows.

Security, Governance & Responsible AI

• Define identity and access architecture using Microsoft Entra , Managed Identity, RBAC/PIM, Key Vault, private endpoints, and least-privilege principles.
• Establish guardrails for prompt injection, data leakage, unsafe tool execution, hallucinations, sensitive information, and high-risk actions.
• Implement human approval and auditable execution for state-changing or sensitive agent actions.
• Ensure alignment with enterprise security, privacy, compliance, Responsible AI, and architecture governance standards.

Agent Ops, LLMOps & Production Readiness

• Define CI/CD and lifecycle management for prompts, models, agents, tools, knowledge assets, and configurations.
• Establish evaluation frameworks covering groundedness, relevance, task success, safety, latency, reliability, and cost.
• Design production observability using Azure Monitor, Application Insights, Log Analytics, tracing, metrics, and audit logs.
• Define operational patterns for retries, idempotency, failure handling, circuit breakers, model routing, token optimization, drift detection, and cost governance.

Architecture Leadership & Delivery

• Lead discovery workshops, architecture assessments, solution design, PoCs, and production implementation roadmaps.
• Produce architecture artifacts including HLD/LLD, integration…