AI Architect

Title: AI Architect

Location: 100% Remote (PST hours)

Duration: 12-month contract + extensions

Must come from a healthcare background

W2 Contract only

Open for H4EAD, L2, GC and USC

Required Experience

• Design and implement Agentic AI solutions using Microsoft Azure AI Foundry for enterprise-scale deployments
• .Architect Multi-Agent Decision Frameworks to orchestrate autonomous agent collaboration and goal resolution
• .Engineer fault-tolerant agent systems with end-to-end observability, monitoring, and self-healing capabilities

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• .Evaluate and deploy platforms for agent creation, lifecycle management, and production deployment
• .Design workflow management systems governing agent and node interactions, sequencing, and state management
• .Architect Meta-Agent (Agents of Agents) hierarchies for complex, layered autonomous decision-making
• .Implement A2A (Agent-to-Agent) Protocol standards for secure, structured inter-agent communication
• .Assess and select agentic frameworks (LangGraph, LangChain, AutoGen, Semantic Kernel) based on use-case fit

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• .Govern MCP Hub architecture, defining policies and standards across a centralized pool of MCP Servers
• .Define MCP Server boundaries, responsibilities, and segregation strategies within the enterprise hub
• .Advise decision criteria for MCP vs. Azure APIM based on integration patterns and governance needs
• .Evaluate and select OCR solutions (Azure Document Intelligence vs. John Snow Labs) aligned to accuracy and scale requirements
• .Design OCR pre-processing pipelines (de-noise, de-skew, binarization) and post-processing validation workflows
• .Architect and recommend between RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) based on latency, cost, and freshness trade-offs

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