"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