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

Enterprise Azure Solution Architect

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)