Teams at Sarvam

Lead Sarvam's security strategy and architecture for AI infrastructure and products. Perform BFSI-grade threat modeling, secure APIs and data isolation, drive vulnerability discovery/remediation, run adversarial testing and red teams, integrate security into CI/CD, and improve cloud IAM, secrets management, and detection/response.

Design and maintain domain-specific evaluation frameworks for LLMs and AI systems: define quality metrics, run pre/post-deployment evaluation cycles, build dashboards, find failure modes and distribution shifts, operationalize automated eval pipelines with MLOps, manage datasets and annotation workflows, and publish quality reports.

Deploy alongside clients to transform heterogeneous multimodal data into semantic structures for AI reasoning. Design ontologies, segmentation, embedding and retrieval strategies, collaborate on ingestion pipelines, evaluate retrieval and reasoning performance, and translate insights into product and engineering signals.