Azure AI Consultant
Job Description
1. AI Consultants
Key Responsibilities
• Engage business stakeholders to discover and prioritize workflow use cases; build value cases and ROI
• Define target architecture for multi-agent solutions on Azure AI Foundry Agent Service, Azure Functions and Service Bus
• Design knowledge and retrieval architecture: vector / hybrid search, Knowledge Graph (GraphRAG) and context engineering strategy
• Design orchestration, agent memory and human-in-the-loop patterns, incl. ERP/CRM integration via MCP
• Set Responsible AI guardrails, security, and governance (Entra ID, Content Safety, Prompt Shields, Purview)
• Define evaluation, observability and LLMOps; lead pre-sales (proposals, PoCs, workshops) and mentor engineers
• Domain knowledge ( Preferred): Finance & invoice processing, Audit / tax document review, HR onboarding, Client service requests
Technical skills required:
• Azure AI Foundry, Azure OpenAI, Azure AI Search (vector / hybrid RAG)
• Microsoft Agent Framework / Semantic Kernel, AutoGen, LangGraph, MCP
• Azure Functions, Service Bus, Logic Apps, API Management, Power Automate
• Knowledge Graph (GraphRAG), Cosmos DB, Fabric
• Agent memory, context engineering and guardrail design patterns
• Dynamics 365, SAP, ServiceNow integration; Copilot Studio; Well-Architected Framework
Experience: 10–15 yrs in IT, incl. 3+ yrs AI/ML and 1+ yr GenAI / agentic AI; client-facing consulting
Qualifications: B.E./B.Tech/MCA; AZ-305 and AI-102 certifications preferred
Source: the employer's careers page. Last checked 2026-10-24. Posted 2026-10-22.
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