Azure AI Solutions Architect (Multi-Agent Demo)

@GameOfWords

Azure AI Solutions Architect (Multi-Agent Demo) I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@shanbirplatypus

Hello! I’ve reviewed your Azure AI Assistant POC requirements and this is very aligned with my experience in Azure-based agentic systems and governed data environments. I can build a multi-agent architecture in **Azure AI Foundry** using Semantic Kernel/AutoGen, with an Orchestrator agent routing queries to domain agents (Financial, Clinical, Marketing). The assistant will translate natural-language questions into governed SQL over Databricks Unity Catalog “Gold” tables, ensuring different phrasings resolve to the same verified data source and return consistent KPI results. I will implement PHI masking and RBAC using Microsoft Purview and Azure identity (treating the agent as a user principal), and every response will include citations pointing to the exact Databricks table/query used. The demo can be deployed to Microsoft Teams or a simple web interface. Deliverables will include a working demo environment (or full deployment scripts) and a clear architecture diagram explaining data flow, security, and agent orchestration. I’m comfortable working within HIPAA-style security constraints and communicating design decisions with technical stakeholders. I’m ready to begin and would be happy to discuss your data schema and preferred deployment option.

@dharamsingh70533

I am a Java & AI Backend Engineer with 5+ years of experience in building scalable microservices and AI-powered applications. I have experience integrating LLMs, semantic search, and enterprise data platforms, which aligns well with your requirement. I can build a POC AI Assistant on Azure that enables natural language queries to fetch governed KPI data from a Databricks Lakehouse using a RAG-based architecture. The solution will ensure consistent responses, secure data access, and compliance-ready design for healthcare environments.

@Biplove1769

Hi! I'm a full-stack developer and Azure cloud specialist with hands-on experience building AI-driven applications on Azure. For this HIPAA-regulated healthcare POC, here's my approach: - Azure AI Foundry + Semantic Kernel/AutoGen for the Multi-Agent Orchestrator (Financial, Clinical, Marketing sub-agents) - Databricks Unity Catalog Gold Layer tables as the governed "Source of Truth" for consistent SQL-based RAG - Microsoft Purview for PHI tagging, masking, and RBAC - agent treated as a standard user identity - Every response includes citations linking back to the specific Databricks table/source - Deployment to Microsoft Teams or custom Web App - Deliverables: Live functional demo + Technical Architecture Diagram I have experience with Azure RBAC, data governance, and AI agent orchestration. I can explain architectural decisions clearly to technical leads and ensure the solution meets HIPAA compliance standards. Can we schedule a quick call to align on the Databricks schema and demo scope? Ready to start immediately.