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Azure Solution Architect – GenAI / Agentic AI (RARR Job 5709)

For International Trade And Development Company
12 - 16 Years
Full Time
Up to 45 Days
Up to 39 LPA
1 Position(s)
Bangalore / Bengaluru, Chennai, Coimbatore, Hyderabad, Kochi, Kolkata, Mumbai, Nagpur, Noida, Pune
Posted 1 Day Ago

Job Skills

Job Description

We are seeking a highly experienced Azure Solution Architect with deep expertise in Generative AI (GenAI), AI Agents (Agentic AI), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).
The ideal candidate will possess a strong background in Azure Cloud and AI/ML technologies, with a proven record of designing and delivering enterprise-grade AI architectures, guiding technical teams, and ensuring successful deployment in dynamic, fast-paced environments.

Experience Required

  • 12+ years of total experience in IT and software development.

  • 8+ years of hands-on experience in Azure Cloud and AI/ML technologies.

  • 2+ years of experience in Generative AI, Agentic AI, RAG, and LLM-based solutions.

  • Proven experience in solution architecture, design, and deployment for AI-driven systems.

  • Strong ability to mentor and guide developers, assist with debugging, resolve technical issues, and ensure timely delivery of complex solutions.


Technical Skills & Responsibilities

  • Architect and implement Azure-based solutions for GenAI and Agentic AI applications.

  • Design and deploy AI Agents using LangChain and LangGraph frameworks.

  • Build and optimize RAG pipelines leveraging Azure OpenAI Services, Vector Embeddings, and Azure AI Search.

  • Architect data storage and retrieval layers using Azure Cosmos DB and Azure Blob Storage.

  • Develop Python-based AI/ML modules and ensure seamless integration within Azure environments.

  • Collaborate with stakeholders to create Proofs of Concept (POCs) based on strategic business discussions and CXO-level inputs.

  • Work cross-functionally to translate architecture into scalable, secure, and production-ready AI systems.

  • Implement Azure security best practices including Azure Key Vault, Role-Based Access Control (RBAC), and secure configuration management.

  • Provide technical leadership, design governance, and hands-on support throughout the solution lifecycle.

Preferred Certifications

  • Microsoft Certified: Azure Solutions Architect Expert

  • Microsoft Certified: Azure AI Engineer Associate

Soft Skills

  • Strong leadership and mentoring capabilities.

  • Excellent communication and stakeholder management skills.

  • Ability to conceptualize complex AI architectures and present them to both technical and non-technical audiences.

  • Passion for innovation, scalability, and real-world impact through AI adoption.