Role Overview We are looking for an AI Solutions Architect to design and guide the implementation of a secure, scalable enterprise AI platform built on Microsoft Azure, Copilot Studio and agentic AI technologies. The role will define the overall architecture connecting AI agents, enterprise data, Microsoft 365, Salesforce and other business applications through secure APIs and governed data access. The architect will provide technical direction to specialist developers and ensure the platform is secure, reliable, scalable and production-ready. Engagement Type: Project-Based / Freelance

Key Responsibilities
• Design end-to-end enterprise AI architecture on Microsoft Azure.
• Architect multi-agent AI systems, tool calling, agent workflows and MCP integrations.
• Design secure API architecture using Azure API Management (APIM).
• Define identity, authentication, authorization and access-control strategies.
• Guide integrations across Copilot Studio, Power Platform, Microsoft 365, Salesforce and third-party systems.
• Design enterprise data pipelines, data access controls and governance frameworks.
• Establish AI security guardrails, monitoring, auditing and cost-optimization practices.
• Define cloud infrastructure, CI/CD, deployment and disaster-recovery strategies.
• Review technical designs and guide developers across AI, data, backend and integration components. Core Skills
• Microsoft Azure Architecture: Azure Functions, Logic Apps, Azure SQL, Storage, VNets, Private Endpoints and Bicep/Terraform.
• Azure Security & Identity: Microsoft Entra ID, OAuth 2.0, SSO, MFA, RBAC, Conditional Access and Managed Identities.
• Azure API Management: API gateway architecture, security policies, authentication, authorization, throttling and API governance.
• Agentic AI Architecture: Multi-agent orchestration,



tool calling, agent memory, autonomous workflows and agent-to-agent communication.
• MCP Architecture: MCP servers and clients, secure tool integration, permissions and enterprise system connectivity.
• Microsoft Copilot Studio & Power Platform: Custom agents, Power Automate, custom connectors, DLP and environment governance.
• LLM & Generative AI: Azure OpenAI, OpenAI, Claude, prompt engineering, RAG, embeddings and model evaluation.
• Microsoft 365 Integration: Microsoft Graph API, Outlook, Teams, SharePoint, OneDrive and Exchange permissions.
• Enterprise Data Architecture: SQL, ETL/ELT, CDC, data pipelines, data lakes, warehouses and batch/real-time processing.
• Enterprise Integration & Backend: Salesforce APIs, SOQL, OAuth, third-party REST APIs, webhooks, Python, C#/.
NET or Node.js.
• AI Security & Governance: Data access controls, prompt-injection prevention, sensitive-data protection, DLP and secure AI execution.
• DevOps & Observability: Azure DevOps/GitHub Actions, Docker, infrastructure as code, Azure Monitor, Application Insights and Log Analytics. Good to Have
• Salesforce MCP and advanced enterprise integrations.
• Python, C#/.
NET or Node.js backend architecture.
• Microsoft Sentinel and advanced observability.
• High availability, disaster recovery and performance optimization.
• Experience leading architecture reviews and multiple engineering teams. Ideal Profile The candidate must have expert-level knowledge of Azure architecture, enterprise security, APIM, agentic AI/MCP and Copilot Studio, along with solid working knowledge of enterprise data architecture and Microsoft 365 integrations. This is an architecture-led role, focused on end-to-end system design, security, integration and scalability
- not simply AI development or cloud administration.

📌 AI Solutions Architect (India)
🏢 Cloudovations
📍 India