Enterprise Architect

The role focuses on GenAI orchestration (RAG, MCP, agent frameworks) and integration with .NET-based systems, working closely with onsite stakeholders and offshore engineering teams. Key Responsibilities · Lead architecture and design of AI Control Pane for enterprise GenAI platform Define end-to-end architecture integrating UI, backend, data, and AI layersDesign and implement RAG pipelines, MCP integrations, and agentic workflowsArchitect AI orchestration using LangGraph / LangChain (or similar frameworks)Define integration patterns between .NET services, Azure data platforms, and AI systemsGuide offshore teams in architecture, design, and engineering executionEnsure scalability, security, performance, and governance of AI solutionsWork closely with business stakeholders to translate property domain use cases into architectureReview and standardize APIs, adapters, and microservices design patternsTechnology Stack Exposure to low-code/no-code platforms (Appian or similar)Experience with AI governance, LLMOps, and enterprise AI rolloutFamiliarity with map-based or data visualization platforms and with Neo4j / Cosmos DBDomain Experience

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