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AI Architect - W2 Contract

CogniSoft TechnologiesUnited States🇺🇸United StatesPosted 5 Jul 2026

Why This Role Stands Out

This fully remote AI Architect role offers a unique opportunity to shape cutting-edge agentic AI solutions using Microsoft Azure, driving innovation in enterprise-scale deployments. If you're a mid-senior technologist passionate about designing complex autonomous systems and multi-agent frameworks, this impactful contract position is an excellent next step in your career. Apply today to leverage your expertise and contribute to a forward-thinking project!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Position :  AI Architect
Location : 100% Remote
Duration : 12 month contract
 
Job Details:
Must Have:
  • 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.
  • 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.
  • 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.

Skills

Azure

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