Experience7-15 Years Work Type Remote Job Type: Contract Job Locations: Noida, India Duration: 6-12 Months

Skills Required

Primary Skills

Agentic AI / LLM solution

Job 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.

Key Skills

- 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, Lang Graph/Lang Chain, 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.

📌 AI Solution Architect (India)
🏢 Sparix Global
📍 India