Enterprise AI Architect – with (GenAI, .NET, Azure) - Remote (Travel client site as and when required)

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VINEET SHARMA

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1:32 PM (2 hours ago) 1:32 PM
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Please share resume to vine...@kanandcorp.com

 

Role: Enterprise AI Architect – with (GenAI, .NET, Azure)

Remote (Travel client site as and when required)

Duration: 12 months contract

 

Role Summary

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.

 

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

 

Technology Stack

  • Backend: .NET / C# (ASP.NET Core, APIs, microservices)
  • Cloud: AWS/Microsoft Azure
  • GenAI:

·                      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

 

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

 

 

Regards,

Vineet Sharma

Sr Associate - Talent Acquisition

KAnand Corporation

LinkedIn: https://www.linkedin.com/in/vineetshr/

Email: vine...@kanandcorp.com

Web: www.kanandcorp.com 

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