[Hiring] AI Solution Architect @Sparix Global.

Role Description

AI / Agentic Solution Architect – Customer Self-Service

Define and drive the AI and agentic architecture for an enterprise Customer Self-Service platform, enabling customers to interact with products, infrastructure, software, services and commercial offerings through intelligent conversational and task-oriented experiences. The architect will design how AI agents, MCPs, enterprise APIs and workflows work together to help customers perform self-service activities across their lifecycle.

Key Responsibilities

• Define the AI and agentic architecture for the Customer Self-Service platform.
• Design conversational and task-oriented agents capable of executing end-to-end customer journeys.
• Define MCP/tool/API patterns allowing agents to securely interact with enterprise systems.
• Design agent orchestration, context management, memory, human-in-the-loop and multi-agent patterns where appropriate.
• Enable self-service scenarios such as:
  • customer onboarding and information collection,
  • creating and managing change requests,
  • managing products and solution lifecycle,
  • fund and commercial consumption management,
  • usage and consumption analysis,
  • infrastructure/software/service requests,
  • guided troubleshooting and customer support.
• Integrate AI capabilities with SAP S/4, SAP BTP and other enterprise platforms.
• Define authentication, authorization and customer-specific data boundaries for agent actions.
• Establish AI governance, guardrails, observability, evaluation and auditability.
• Define reusable AI platform capabilities rather than building isolated agents for every use case.
• Drive architecture from prototypes through production adoption.

Qualifications

• Agentic AI / LLM solution architecture
• MCP, tool calling and enterprise API integration
• Agent orchestration and workflow design
• Conversational AI and customer experience
• SAP BTP and enterprise integration
• REST / OData / event-driven architectures
• Identity, authorization and security
• AI governance, guardrails and observability
• RAG, context engineering and enterprise knowledge integration
• Cloud-native architecture

Preferred Experience

• Experience with technologies such as OpenAI, SAP Generative AI Hub / AI Core, MCP, LangGraph/LangChain, Semantic Kernel or comparable agent platforms.
• Experience designing enterprise customer portals, digital self-service platforms, subscription/consumption businesses, or B2B customer journeys would be highly valuable.