Job Description – AI Integration & Architecture Lead
Experience: 8+ years overall, with robust experience in AI/GenAI architecture and enterprise integration
Location: Remote
Work Hours: Central European business hours
Employment Type: Full-time
About the Role
We are looking for an experienced AI Integration & Architecture Lead to drive the strategic integration of enterprise chatbot, ServiceNow, and AI agent platforms. The role will be responsible for defining integration architecture, enabling agent interoperability through Agent-to-Agent (A2A) and Model Context Protocol (MCP) patterns, and providing technical leadership across complex enterprise AI initiatives.
The ideal candidate will have strong hands-on experience with ServiceNow, Azure AI, AI agent frameworks, A2A, MCP, enterprise APIs, and cloud architecture, combined with excellent client-facing consulting and solution-design capabilities.
Key Responsibilities
Define the integration strategy and target architecture for enterprise AI agent ecosystems.




Design scalable and secure solutions using A2A and MCP integration patterns.
Architect integrations between enterprise chatbots, ServiceNow, AI agents, Azure AI services, and other enterprise platforms.
Evaluate multiple architectural approaches and provide trade-off analysis and recommendations to senior stakeholders.
Provide technical leadership for agent interoperability, orchestration, context exchange, tool invocation, and enterprise integrations.
Guide engineering and delivery teams in implementing AI integration use cases.
Establish architecture standards and best practices for scalability, maintainability, security, governance, performance, and user experience.
Assess the capabilities, boundaries, licensing considerations, and feature constraints of ServiceNow Now Assist, AI Agents/AI Agent Studio, and Virtual Agent.
Lead architecture workshops with clients, business stakeholders, enterprise architects, and technical teams.
Prepare architecture option p

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