Key Responsibilities

- Define and drive enterprise AI architecture strategy aligned with business objectives.

- Design and implement scalable AI, ML, and Generative AI solutions on Microsoft Azure.

- Architect enterprise-grade solutions leveraging Azure AI, data, analytics, and cloud-native services.

- Lead the design of Retrieval-Augmented Generation (RAG), AI Agents, copilots, and Large Language Model (LLM)-based applications.

- Establish AI governance, Responsible AI, security, compliance, and operational best practices.

- Collaborate with business stakeholders, data scientists, engineers, and enterprise architects to identify and implement AI use cases.

- Develop AI reference architectures, architectural standards, and reusable frameworks.

- Guide technical teams through AI solution design, implementation, deployment, and optimization.

- Evaluate emerging AI technologies and recommend innovation opportunities.

- Provide technical leadership and architecture governance throughout the project lifecycle.

Key Technical Responsibilities

Azure AI &

- Generative AI Services

- Azure AI Foundry (Azure AI Studio)





- Azure OpenAI Service

- Azure AI Search

- Azure AI Content Safety

- Azure AI Vision

- Azure AI Language

- Azure AI Speech Services

- Azure Document Intelligence

- Azure Machine Learning

Generative AI &

- LLMs

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- AI Agents and Agentic Workflows

- Fine-Tuning and Model Customization

- Vector Databases and Semantic Search

- Conversational AI and Enterprise Copilots

- Knowledge Management Solutions

- Multi-Agent Architectures

Data &

- Analytics Platform

- Azure Data Lake Storage

- Azure Synapse Analytics

- Azure Databricks

- Microsoft Fabric

- Azure SQL Database

- Cosmos DB

- Event Hub and Stream Analytics

Cloud &

- Application Architecture

- Azure Kubernetes Service (AKS)

- Azure Functions

- Azure Container Apps

- API Management

- Event-Driven Architecture

- Microservices Architecture

- Serverless Computing

- Enterprise Integration Patterns

📌 AI Architect with Azure - S (Chennai)
🏢 Tata Consultancy Services
📍 Chennai