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.
Prepare architecture option papers, solution blueprints,



technical recommendations, and decision documents.
Identify technical risks, dependencies, and integration constraints and develop mitigation strategies.
Mentor technical teams and provide architectural oversight throughout implementation and delivery.
Required Technical Skills & Experience
ServiceNow
Strong experience with the ServiceNow platform and enterprise integrations.
Working knowledge of Now Assist / Now Assist across ITSM, HRSD, or CSM.
Experience with AI Agents / AI Agent Studio and ServiceNow Virtual Agent .
Ability to advise clients on ServiceNow AI capabilities, platform boundaries, licensing, and feature constraints.
Strong knowledge of:
Integration Hub
REST and GraphQL APIs
MID Server
ServiceNow Spokes
Flow Designer
Enterprise integration patterns
AI / GenAI & Agent Architecture
Strong experience designing AI/GenAI enterprise architectures .
Proven hands-on experience with Agent-to-Agent (A2A) integrations.
Strong hands-on experience designing and implementing Model Context Protocol (MCP) servers and clients .
Understanding of agent interoperability, orchestration, context management, tool calling, and multi-agent architectures.
Experience with AI agent frameworks and enterprise chatbot/virtual assistant platforms.
Understanding of LLM-based application architecture, RAG, APIs, tools, and enterprise AI governance.
Microsoft Azure
Strong experience with the Microsoft Azure AI ecosystem .
Hands-on knowledge of:
Azure OpenAI
Azure AI Foundry
Azure Bot Service
Azure AI services
Azure APIs and integration services




Experience designing conversational applications surfaced through Microsoft Teams .
Strong understanding of Azure cloud architecture, security, identity, networking, scalability, and integration patterns.
Client-Facing & Consulting Skills
Demonstrated experience working directly with enterprise clients and senior stakeholders.
Ability to conduct architecture discovery and technical workshops .
Strong capability to develop:
Architecture option papers
Solution architecture documents
Trade-off analysis
Technical recommendations
Integration roadmaps
Excellent solution-design and architectural decision-making skills.
Ability to translate complex AI and integration concepts into explicit business and technical recommendations.
Strong communication, presentation, stakeholder-management, and problem-solving abilities.
Fluent English communication skills .
Preferred Qualifications
8+ years of experience in software architecture, enterprise integration, cloud architecture, AI/GenAI, or related areas.
Experience leading enterprise-scale AI transformation or integration programs.
ServiceNow certifications such as Certified System Administrator, Certified Application Developer, or relevant AI/Now Assist certifications would be advantageous.
Azure certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate would be an advantage.
Experience with enterprise security, IAM, API management, observability, and governance for AI systems.
Key Competencies
AI/GenAI Architecture
AI Agent Architecture
A2A Integration
MCP Server & Client Architecture
ServiceNow / Now Assist
AI Agent Studio
ServiceNow Virtual Agent
Integration Hub & MID Server
REST / GraphQL APIs
Azure OpenAI
Azure AI Foundry
Azure Bot Service
Microsoft Teams
Enterprise Integration Architecture
Multi-Agent Orchestration
Context Exchange & Tool Integration
Solution Architecture & Technical Consulting
Stakeholder Management
Architecture Decision Making

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