Key Responsibilities

- Technical Leadership & Architecture

· Lead the architecture and implementation of AI-driven document processing platforms leveraging Azure AI Document Intelligence (OCR) and Azure OpenAI.

· Design end-to-end flows including document upload, OCR extraction, AI validation, and human-in-the-loop workflows.

· Define and enforce coding standards, AI design patterns, and best practices across development teams.

- Azure OpenAI & GenAI Enablement

· Architect and integrate Azure OpenAI for document classification, validation, summarization, and intelligent decision support.

· Drive prompt engineering, prompt versioning, and response evaluation for enterprise use cases.

· Implement governance for GenAI usage, including prompt security, data masking, and audit readiness.

- Document Intelligence & OCR





· Lead configuration and optimization of Azure AI Document Intelligence for OCR, form extraction, and structured data capture.

· Integrate OCR outputs with downstream systems, databases, and AI validation pipelines.

· Ensure OCR accuracy, performance tuning, and continuous improvement through feedback loops.

- Cloud Engineering & Integration

· Design solutions using Azure services such as Azure Functions, Logic Apps, API Management, Blob Storage, and Azure SQL.

· Implement event-driven architectures using Azure Service Bus / Event Grid for scalable document processing.

· Ensure high availability, scalability, and performance across AI workflows.

📌 AI with Azure Devops (Bengaluru)
🏢 TalentOla
📍 Bengaluru