AI Architect with MCP Agentic AI :: Plano, TX (Hybrid)

Job Title: AI Architect with MCP Agentic AI Location: Plano, TX (Hybrid) Position Type: Long-term contract   Job Description: We are seeking a highly experienced AI Architect to lead the design and development of intelligent, agent-driven architectures using Agentic AI paradigms and emerging interoperability standards like Model Context Protocol (MCP). The ideal candidate will have a deep understanding of large language models (LLMs), multi-agent systems, orchestration frameworks, and contextual memory architecture. Key Responsibilities: Architect scalable AI systems leveraging Agentic AI frameworks (e.g., AutoGen, LangGraph, CrewAI). Integrate and design systems using Model Context Protocol (MCP) or similar memory/context-sharing protocols. Collaborate with ML engineers and product teams to define use cases for autonomous and semi-autonomous agents. Implement and evaluate agent collaboration, context persistence, and dynamic task routing. Drive decisions on model selection, prompt engineering, fine-tuning strategies, and long-term AI scalability. Ensure secure, performant, and responsible AI deployment across hybrid environments. Required Skills & Experience: 8+ years in AI/ML development with at least 2+ years in LLM-based agent frameworks. Hands-on with LangChain, LangGraph, AutoGen, CrewAI, Open Agents, or similar. Proficiency with MCP, Retrieval-Augmented Generation (RAG), vector databases, and memory architecture. Strong Python coding background; familiarity with OpenAI, Anthropic, Mistral APIs. Solid understanding of orchestration, task delegation, and agentic loop patterns. Prior experience with hybrid cloud and on-prem deployment architectures.

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