AI Architect

Signature IT World Inc; Phoenix (AZ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Signature IT World Inc. in Phoenix, AZ is seeking an experienced AI Solutions Architect to design and deliver enterprise-grade AI solutions powered by LLMs, AI agents, and modern integration protocols. This hybrid onsite contract role focuses on secure, scalable deployments and close collaboration with stakeholders.

You will own MCP-based tool and data integration, architect A2A workflows, and build scalable RAG architectures while mentoring engineers and aligning with business goals.

Qualifications

• Experience designing enterprise-scale AI architectures using LLMs and agents.
• Hands-on with MCP and Agent-to-Agent integration.
• Familiarity with RAG and vector databases.
• Knowledge of security, governance, and deployment strategies.
• Experience collaborating with data engineers and stakeholders.

Responsibilities

• Design enterprise AI solutions using LLMs, AI agents, and multi-agent systems.
• Architect AI apps leveraging MCP for standardized tool and data integration.
• Design and implement A2A communication patterns for AI workflows.
• Build scalable RAG architectures.
• Define AI solution architecture, security, governance, and deployment strategies.
• Integrate AI apps with enterprise systems, APIs, databases, and SaaS.
• Design agent orchestration workflows with LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Develop AI-powered automation for enterprise processes.
• Collaborate with data engineering to build vector search and knowledge retrieval pipelines.
• Establish best practices for prompt engineering, 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 platforms.

Skills

AI architecture

Multi-agent systems

MCP / A2A integration

Cloud-native AI

Security & governance

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Vector search

Job description

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