TELECOMMUTE Enterprise Architect - AI

· 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

Enterprise 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., * 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

Domain Experience

· Real Estate / Property Management preferred

• BFSI / Lending domain understanding is a plus
• Understanding of property, mortgage, loan, tranche structures preferred

Experience & Profile

· 12-15 years in enterprise architecture and solution design

• Proven experience in end-to-end system design and large-scale implementations