AI Architect with Azure - S

Tata Consultancy Services; Pune District, Chennai, Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services Limited in India seeks a senior AI architect to lead enterprise AI strategy, design scalable Azure-based AI/ML solutions, and govern Responsible AI across programs.

You will guide cross‑functional teams, partner with stakeholders to identify AI use cases, develop reference architectures, and ensure security, governance and compliance throughout delivery.

This role combines cloud, data, and MLOps excellence to deliver reusable frameworks and enterprise copilots at scale.

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.

Job description

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