"Role Summary The Tech Lead will take the AI Architect’s solution design and turn it into a working, production-ready platform. This person will guide the AI Engineering team day to day across ingestion, search and retrieval,

and Azure DevOps/CI-CD workstreams. The role is hands-on: the Tech Lead is expected to make technical decisions, review code, unblock engineers, and contribute directly to the more complex parts of the build.

Key Responsibilities

- Lead the AI Engineering team across the ingestion, search and retrieval, and Azure DevOps/CI-CD

workstreams.
- Break down the AI Architect’s design into practical technical plans, sprint work, and engineering

tasks.
- Stay close to the code through reviews, pairing, and direct contribution on complex areas such as

doctor ranking, guarded NL2SQL aggregate flows, and grounded AI summaries.
- Maintain build quality across the full release path, from Dev through UAT parallel run with the legacy





search and on to Production blue/green deployment.
- Support sprint planning, estimation, and team capacity planning using the project’s effort-

estimation baseline.
- Work closely with the AI Architect on design choices and raise risks, scope changes, and technical

blockers early.
- Keep security, PDPA, and AI content-safety requirements front of mind throughout implementation.
- Coordinate integration testing across deterministic search, semantic search, multilingual fallback

logic, and the Admin Tool’s configuration-driven governance model.
- Own the technical documentation, runbooks, and knowledge transfer needed for a smooth

handover and ongoing support.
- Represent engineering in client-facing technical conversations and UAT sign-off discussions.

📌 Architect (Chennai)
🏢 Virtusa
📍 Chennai