AI Integration & Architecture Lead

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 clear 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