Job Description – AI Integration & Architecture Lead

Experience: 8+ years overall, with strong 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.
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