AI Solution Architect

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, 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.