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 prospects.
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