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.
* Backend &

📌 AI Architect (Thane)
🏢 WTW
📍 Thane