"Role Summary

As an AI Engineer, you will help build the platform’s ingestion, indexing, retrieval, and orchestration capabilities, while also contributing to the Azure DevOps CI/CD setup. This is a hands-on engineering role that works across both the pull-based ingestion pipeline and the real-time search and retrieval experience.

Key Responsibilities

- Design, build, and maintain the ingestion pipeline, including Azure Data Factory pipelines, Blob

landing zones, PII redaction, language and entity tagging through Azure AI Language, and embedding generation through Azure AI Foundry.
- Develop and refine Azure AI Search indexes, including the structured and scored Doctors Index and

the vector, semantic, and keyword-based Content Index.
- Implement the Query Orchestrator using Azure Functions or Foundry Agent Service, covering

language detection, intent classification, and Prompt Shields.




- Build deterministic doctor-ranking logic and the semantic/RAG content-retrieval flow, including

grounded AI-generated summaries.
- Add Azure AI Content Safety checks and integrate session state with Cosmos DB or Redis.
- Support the Admin Tool built on Azure App Service, Functions, and Entra ID, which enables

configuration-driven governance for medical logic, call-centre information, blocklists, disclaimers, and taxonomy.
- Contribute to the Azure DevOps CI/CD workstream, including Bicep infrastructure-as-code, pipeline

scripting, and AI guardrail regression testing.
- Write unit and integration tests, support UAT activities, and help triage defects.
- Take part in code reviews and technical design discussions with the Tech Lead and AI Architect.

📌 Lead Software Engineer (Chennai)
🏢 Virtusa
📍 Chennai