Azure Solution Architect

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 Role

We 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 Responsibilities

Design 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 Skills

Cloud : Microsoft Azure (App Services, Functions, Cognitive Services, AI Studio, Azure OpenAI)

GenAI / LLM : GPT models, Azure OpenAI Services, LangChain, LangGraph

RAG : Azure AI Search, Vector Embeddings, Cognitive Search

Data : Azure Cosmos DB, Azure Blob Storage, SQL

Programming : Python, SQL

Tools : VS Code, Git, Azure DevOps

Security : Azure Key Vault, Role-Based Access Control (RBAC)