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kjohn@samrusystems.com

kjohn@samrusystems.com

via Dice

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AI Architect – A-to-A Systems (MCP Framework)

Anywhere
Contract
Posted 2/24/2026
Verified Source
Key Skills:
AI architecture
agent-to-agent interaction
multi-agent systems
Python
JavaScript

Compensation

Salary Range

$150K - 180K a year

Responsibilities

Lead design and implementation of advanced agent-to-agent AI interaction systems using MCP framework.

Requirements

6+ years AI architecture experience with hands-on agent-to-agent systems, proficiency in Python/JavaScript, and strong distributed systems knowledge.

Full Description

Experience: 12+ Years We are seeking an experienced AI Architect to lead the design and implementation of advanced agent-to-agent (A2A) interaction systems. This role will focus on architecting and delivering autonomous, collaborative AI agents using the MCP (Agent-to-Agent) framework. The ideal candidate will have deep expertise in multi-agent architectures, distributed AI systems, and enterprise integrations. Experience with ServiceNow is a plus but not mandatory. Key Responsibilities • Architect and implement agent-to-agent interaction capabilities, enabling autonomous collaboration, coordination, and task delegation among AI agents. • Design and deliver solutions using the MCP (Agent-to-Agent) framework, ensuring scalability, reliability, and extensibility. • Define architectural patterns for multi-agent orchestration, communication protocols, shared memory, and state management. • Lead technical design sessions and provide architectural governance for agent-based AI solutions. • Integrate AI agents with enterprise systems, APIs, and workflows (e.g., ITSM, ERP, CRM platforms). • Ensure observability, security, and governance across agent interactions, including logging, monitoring, and policy enforcement. • Collaborate with engineering, data science, and platform teams to translate business requirements into agent-based architectures. Required Qualifications • 6+ years of experience in AI architecture. • Hands-on experience building agent-to-agent (A2A) interaction systems in real-world or production environments. • Strong expertise with the MCP (Agent-to-Agent) framework and multi-agent design patterns. • Deep understanding of LLM-based systems, autonomous agents, and tool-augmented reasoning. • Proficiency in Python and/or JavaScript. • Solid experience with distributed systems, APIs, event-driven architectures, and cloud platforms. • Strong architectural, problem-solving, and communication skills. Preferred Qualifications • Experience integrating AI agents with ServiceNow (ITSM, ITOM, or custom workflows). • Experience with enterprise automation platforms and workflow engines. • Knowledge of AI governance, security, and responsible AI practices.

This job posting was last updated on 3/3/2026

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