Azure Solution Architect

4 weeks ago

Varanasi, India People Prime Worldwide Full time

About Client:Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.. Job Title: Azure Solution Architect· Location: Pan India.· Experience: 11+ years· Job Type : Contract to hire.· Notice Period:- Immediate joiners.About the RoleWe are seeking a highly experienced Enterprise 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 deep expertise in Azure Cloud and AI/ML technologies, with a proven record of designing and delivering large-scale AI solutions across enterprise environments.Key ResponsibilitiesDesign and implement Azure-based architectures for Generative AI and Agentic AI applications.Develop and deploy AI Agents using frameworks like LangChain and LangGraph.Implement RAG pipelines leveraging Azure OpenAI Services, Vector Embeddings, and Azure AI Search.Architect scalable data solutions using Azure Cosmos DB and Azure Blob Storage.Drive hands-on Python development for AI/ML and GenAI solutions.Build Proofs of Concept (POCs) based on CXO-level requirements and convert them into production-ready solutions.Guide development teams in design, implementation, debugging, and deployment activities.Ensure best practices in security, compliance, and scalability using Azure Key Vault and RBAC.Collaborate with cross-functional stakeholders to ensure alignment with business objectives.Technical SkillsCloud: Microsoft Azure (App Services, Functions, Cognitive Services, AI Studio, Azure OpenAI)GenAI / LLM: GPT models, Azure OpenAI Services, LangChain, LangGraphRAG: Azure AI Search, Vector Embeddings, Cognitive SearchData: Azure Cosmos DB, Azure Blob Storage, SQLProgramming: Python, SQLTools: VS Code, Git, Azure DevOpsSecurity: Azure Key Vault, Role-Based Access Control (RBAC)

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