Client Name
Financial
Position Title
Enterprise Architect – AI (GenAI, .NET, Azure)
Domain EXP
(Real estate Domain)
Location
Remote (Travel client site as and when required)
Job Description
Role SummaryEnterprise Architect with 12–15 years of experience in designing production-grade enterprise architectures. 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 layers
- Design and implement RAG pipelines, MCP integrations, and agentic workflows
- Architect AI orchestration using LangGraph / LangChain (or similar frameworks)
- Define integration patterns between .NET services, Azure data platforms, and AI systems
- Guide offshore teams in architecture, design, and engineering execution
- Ensure scalability, security, performance, and governance of AI solutions
- Work closely with business stakeholders to translate property domain use cases into architecture
- Review and standardize APIs, adapters, and microservices design patterns
· Backend: .NET / C# ( Core, APIs, microservices)
· Cloud: AWS/ Microsoft Azure
· GenAI:
o RAG (Retrieval Augmented Generation)
- MCP (Model Context Protocol)
- Agent frameworks (LangGraph, LangChain or similar)
· Integration: REST, gRPC, API Management (APIM), adapters/connectors
· Data: Oracle or Azure SQL
· Programming: Python (for AI/agent orchestration)
Preferred Skills· Experience building AI platforms / control planes / orchestration layers
- Exposure to low-code/no-code platforms (Appian or similar)
- Experience with AI governance, LLMOps, and enterprise AI rollout
- Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB
· Real Estate / Property Management preferred
- BFSI / Lending domain understanding is a plus
- Understanding of property, mortgage, loan, tranche structures preferred
· 12–15 years in enterprise architecture and solution design
- Proven experience in end-to-end system design and large-scale implementations
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