About Position:

We are seeking for Enterprise Architect with 11-15 years of experience in designing production-grade enterprise architectures. The role focuses on GenAI orchestration including RAG, MCP, and agent frameworks, along with integration into .NET-based systems. The architect will work closely with onsite stakeholders and offshore engineering teams to deliver scalable and governed AI solutions.
- Role: Architect AI (GenAI, .NET, Azure, React, Python)
- Location: Pune
- Experience: 11 to 15 Years
- Job Type: Full Time Employment

What You'll Do:
- 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

Expertise You'll Bring:
- Backend: .NET / C# including ASP.NET Core, APIs, and microservices
- Cloud: AWS / Microsoft Azure
- GenAI: RAG, MCP, agent frameworks such as LangGraph, LangChain or similar
- Integration: REST, gRPC, API Management, adapters and connectors
- Data: Oracle or Azure SQL
- Programming: Python for AI and agent orchestration
- Experience building AI platforms, control planes, and orchestration layers
- Exposure to low-code/no-code platforms such as Appian or similar
- Experience with AI governance, LLMOps, and enterprise AI rollout
- Familiarity with map-based or data visualization platforms and Neo4j / Cosmos DB
- Domain experience in Real Estate / Property Management preferred

📌 Hiring: Enterprise Ai Architect (India)
🏢 Persistent Systems
📍 India