Enterprise Architect – AI (GenAI, .NET, Azure)

Position Title

Enterprise Architect – AI (GenAI, .NET, Azure)

Domain EXP

(Real estate Domain)

Location

200 S Biscayne Blvd, Miami, FL 33131, United States (Day One Onsite)

Employment Type

Fulltime

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 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

· Backend: .NET / C# (ASP.NET 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 rolloutFamiliarity with map-based or data visualization platforms and with Neo4j / Cosmos DBDomain Experience

· Real Estate / Property Management preferred

BFSI / Lending domain understanding is a plusUnderstanding of property, mortgage, loan, tranche structures preferredExperience & Profile

· 12–15 years in enterprise architecture and solution design

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