Senior AI Engineer / Architect @ Microsoft
Designing enterprise grade, event driven AI systems that integrate autonomous agents, tools, and self healing workflows into production environments.
stochasticcoder.com • linkedin.com/in/jonathanscholtes/
These reference architectures demonstrate how to move past basic prompt and response into structured, tool driven execution and deterministic agent orchestration.
-
Azure SRE Agent GitHub Demo
Takes a production failure spike down to an automated code fix and a merged GitHub PR. Self-healing pipelines built on Azure SRE Agent with governed remediation and incident detection.- Key Patterns: Agentic reliability · autonomous remediation loops · GitHub Copilot integration
-
Fabric + Foundry Insight & Presentation Agents
Turns live enterprise data into natural-language insights and auto-generated PowerPoint business reviews, chaining a Microsoft Fabric Data Agent to Foundry agents through MCP tooling.- Key Patterns: Fabric Data Agent interface · multi-turn reasoning over live data · MCP-driven document generation
-
BrandSense — Multi Agent Brand Intelligence
Scores and validates brand intelligence through guardrailed multi-agent collaboration, combining retrieval, scoring, and validation to keep business outputs trustworthy.- Key Patterns: Guardrailed multi-agent collaboration · deterministic validation loops
-
Contract Risk Analysis
Evaluates contract risk through repeatable, auditable workflows, using MCP for isolated tool-based evaluation and controlled data access.- Key Patterns: Tool-based evaluation isolation · auditable decision trees
-
ITSM Multi Agent System
Classifies, routes, and resolves IT service tickets end to end through structured multi-agent orchestration and lifecycle handling.- Key Patterns: State-machine orchestration · autonomous ticket remediation
-
Microsoft Foundry Agentic Workshop
A hands-on workshop for building agentic systems — vector search, multi-agent orchestration with LangGraph, and evaluation setups.- Key Patterns: Developer enablement · multi-agent evaluation frameworks · LangGraph orchestration
Browse everything by area. ⭐ marks the featured patterns above.
| Project | Services | Tech Stack | Pattern & Use Case |
|---|---|---|---|
| BrandSense ⭐ | Microsoft Foundry, Azure OpenAI, AI Search, APIM | Python, FastAPI, React, Terraform | Multi-agent brand analysis using retrieval, scoring, and validation workflows |
| Contract Risk Analysis ⭐ | Microsoft Foundry, AKS | Python, Bicep, MCP, OpenTelemetry | Autonomous multi-agent contract risk evaluation with auditable workflows |
| Full Stack RAG System | Cosmos DB (Mongo vCore) | Python, LangChain, FastAPI, React | Enterprise retrieval-augmented generation pattern |
| Semantic Kernel RAG System | Microsoft Foundry, AI Search, Cosmos DB, Durable Functions | Semantic Kernel, Python, FastAPI, Bicep | RAG orchestration and foundation for agent-based systems |
| Travel AI Agent | Cosmos DB (Mongo vCore) | Python, LangChain, FastAPI, React | Conversational agent with vector search, state management, and transactional workflows |
| Project | Services | Tech Stack | Pattern & Use Case |
|---|---|---|---|
| Azure SRE Agent GitHub Demo ⭐ | Azure SRE Agent, Container Apps, Cosmos DB, Managed Identity | Python, FastAPI, Terraform, GitHub Actions | Self-healing pipelines and autonomous remediation |
| Fabric + Foundry Insight & Presentation Agents ⭐ | Microsoft Fabric, Microsoft Foundry, Container Apps, Managed Identity | Python, FastAPI, FastMCP, python-pptx | Fabric Data Agent → conversational insight → MCP-generated PowerPoint business reviews |
| Microsoft Foundry Agentic Workshop ⭐ | Microsoft Foundry, AI Search, Container Apps, Azure Functions | Python, LangGraph, Semantic Kernel, MCP | Multi-agent orchestration and evaluation patterns |
| ITSM Multi Agent System ⭐ | Microsoft Foundry, AI Search, APIM, Managed Identity | Python, FastAPI, React, Terraform | Agent-based ticket classification, routing, and remediation |
| Agents Audit System | Foundry Agent Service, Azure OpenAI, AI Search, Cosmos DB | Python, FastMCP, Bicep | Agentic Accounts Payable auditing with RAG, explainable reasoning, and policy compliance |
| Project | Services | Tech Stack | Pattern & Use Case |
|---|---|---|---|
| MCP YARP Gateway | AKS, Cosmos DB, Key Vault, Managed Identity | .NET, YARP, Bicep, Python | Secure MCP reverse proxy and controlled agent tool access |
| Large Document Summarization | Azure OpenAI, Durable Functions, Blob Storage | Python, Bicep, PowerShell | Distributed fan-out/fan-in processing for large documents |
| Microsoft Foundry Deployment | Microsoft Foundry, AI Search, Private Endpoints, Managed Identity | Bicep, PowerShell | Enterprise deployment, networking, and security foundations |
I write regularly about the operational realities of AI engineering, focusing on reliability, session affinity, and self healing pipelines over speculation.
👉 Read the latest technical breakdowns at stochasticcoder.com
- System Design > Isolated Prompts: Prompts are brittle; architectures must be resilient.
- Governed Autonomy: Agents must operate within explicit operational guardrails.
- Consistent Operational Outcomes: Observability and reliable tracing are non negotiable for production agent deployment.
The architecture patterns above leverage these core Microsoft frameworks and concepts to build scalable, production ready systems:
- Microsoft Agent Framework Journey: The architectural pathway for transitioning from basic AI capabilities to governed multi agent orchestration.
- Microsoft Foundry Planning: Core concepts for designing structured, tool driven execution and deterministic agent planning loops.
- Microsoft Foundry Observability: Foundational practices for tracing execution flow, evaluating decisions, and driving consistent operational outcomes across AI applications.