Description
You will partner with IT Director and internal client teams to translate complex business requirements into scalable, production-grade architectures — spanning pro-code Azure solutions, low-code Power Platform experiences, and emerging agentic AI frameworks. This role is the keystone that unblocks a high-performing development team by owning end-to-end solution design: from initial client discovery and MVP scoping through to architecture governance, observability strategy, and developer guidance. You will modernize existing AI workloads — including LangChain/LangGraph pipelines and RAG systems — while establishing a forward-looking architecture practice built on the latest AI, integration, and cloud-native patterns.
The Role
- Client engagement & discovery — Work directly with internal clients to deeply understand their use cases, identify the core problem and success criteria, and translate requirements into a clearly scoped MVP. Act as the technical voice in stakeholder conversations, bridging business need to technical possibility.




- Solution architecture ownership — Design and own end-to-end architectures for AI solutions across the full delivery spectrum: pro-code applications on Azure, low-code solutions on Power Platform & Copilot Studio, and third-party platforms such as Lyzr or Moveworks. Produce architecture artefacts (HLD, LLD, ADRs) that guide delivery teams.
- AI & agentic framework design — Lead the architecture of advanced AI capabilities: multi-agent systems, agentic workflows, advanced RAG (contextual retrieval, hybrid search, re-ranking), MCP integration, and next-generation AI orchestration patterns using Azure AI Foundry, LangGraph, and adjacent frameworks.
- Modernization of existing AI workloads — Assess and evolve current LangChain/LangGraph and OpenAI-based pipelines and Google Cloud AI assets. Define a roadmap to advance these toward production-grade, observable, and maintainable architectures aligned with enterprise standards.
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📌 AI Architect (Thane)
🏢 WTW
📍 Thane