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Azure Solution Architect - Generative AI
Azure Solution Architect - Generative AISoftpath Technologies LLC • Mumbai
Azure Solution Architect - Generative AI

Azure Solution Architect - Generative AI

Softpath Technologies LLC • Mumbai
3 days ago
Job description

Project-Specific Prerequisite Skills (Must Have) :

  • Azure Cloud Architecture
  • Python
  • Azure OpenAI
  • 2+ years of GenAI experience
  • Hands-on experience in designing and Description Enterprise Azure Solution Architect (GenAI / Agentic AI) :

We are seeking a highly experienced Azure Solution Architect with a strong background in Generative AI (GenAI), AI Agents, Agentic AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).

The ideal candidate will have extensive experience in Azure Cloud and AI / ML technologies, with a proven track record of designing and implementing complex AI solutions, guiding development teams, and ensuring successful deployment in fast-paced environments.

Experience Required :

  • 15 years total experience in IT and software development
  • 8 years of hands-on experience in Azure Cloud and AI / ML technologies
  • Minimum 2 years of experience in Generative AI (GenAI), AI Agents, Agentic AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and related technologies
  • Hands-on experience in implementing design architecture and assisting developers in development and deployment
  • Proven ability to guide developers, resolve technical issues, assist in debugging, and ensure timely delivery and deployment of solutions
  • Technical Skills & Responsibilities :

  • Design and implement Azure-based solution architectures for GenAI applications
  • Develop and deploy AI Agents using LangChain and LangGraph
  • Implement RAG pipelines using Azure OpenAI Services, Vector Embeddings, and Azure AI Search
  • Architect data solutions using Azure Cosmos DB and Azure Blob Storage
  • Hands-on Python development for AI / ML and GenAI applications
  • Create rapid Proof-of-Concepts (POCs) based on CXO-level discussions
  • Collaborate with cross-functional teams to implement and deliver scalable and secure AI solutions based on the design architecture
  • Ensure best practices in security using Azure Key Vault and Role-Based Access Control (RBAC)
  • Tech Stack :

  • Cloud : Microsoft Azure
  • GenAI / LLMs : Azure OpenAI Services, GPT models
  • AI Agents : LangChain, LangGraph
  • RAG : Azure AI Search, Vector Embeddings
  • Data : Azure Cosmos DB, Azure Blob Storage
  • Languages : Python, SQL
  • Tools : VS Code, Git, Azure DevOps
  • Security : Azure Key Vault, RBAC
  • (ref : hirist.tech)

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