AI Architect

Role: AI Solutions Architect (MCP & Agent-to-Agent Integration) Location: Phoenix, AZ -Hybrid Onsite Type: Contract We are seeking an experienced AI Solutions Architect to design and implement enterprise-grade AI solutions powered by Large Language Models (LLMs), AI agents, and modern integration protocols. The ideal candidate will have hands-on experience with Model Context Protocol (MCP) , Agent-to-Agent (A2A) communication, agent orchestration frameworks, Retrieval-Augmented Generation (RAG), and cloud-native AI architectures. This role involves working closely with business stakeholders, engineering teams, and data scientists to deliver secure, scalable, and production-ready AI solutions. Key Responsibilities Design enterprise AI solutions using LLMs, AI agents, and multi-agent systems. Architect AI applications leveraging Model Context Protocol (MCP) for standardized tool and data integration. Design and implement Agent-to-Agent (A2A) communication patterns for collaborative AI workflows. Build scalable Retrieval-Augmented Generation (RAG) architectures. Define AI solution architecture, security, governance, and deployment strategies. Integrate AI applications with enterprise systems, APIs, databases, and SaaS platforms. Design agent orchestration workflows using frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel. Develop AI-powered automation for enterprise business processes. Collaborate with data engineering teams to build vector search and knowledge retrieval pipelines. Establish best practices for prompt engineering, evaluation, observability, and model lifecycle management. Optimize AI applications for latency, scalability, reliability, and cost. Mentor engineering teams on AI architecture and implementation standards. Stay current with advancements in LLMs, agentic AI, MCP, and enterprise AI platforms #J-18808-Ljbffr Signature IT World Inc