AI Architect Agentic AI & MCP

Role: AI Architect Agentic AI & MCP

Location: Plano, TX (Hybrid)

Job Type: 12+ Months 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.