Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the RoleSarvam AI is building foundational AI infrastructure. We're looking for a hands-on security leader who brings the rigor, threat modeling discipline, and depth of BFSI/Fintech security — and applies it to AI infrastructure, platforms, and products.
You will own security strategy, product security, and security research while staying deeply technical and close to the systems you're securing. This is not an audit management role — you'll be designing architectures, finding vulnerabilities, and shipping fixes.
What You'll DoSecurity Strategy & Architecture
Define and evolve Sarvam AI's end-to-end security strategy
Design secure architectures for Sarvam's products and API platform
Apply BFSI-grade threat modeling and controls to AI infrastructure
Make pragmatic risk decisions that balance research velocity with security
Product & Application Security
Lead threat modeling for AI products, APIs, and data systems
Own application and API security, including auth, access control, and data isolation
Drive vulnerability discovery, remediation, and verification
Systems & Processes
Set up systems and processes to proactively find and validate vulnerabilities across products and infrastructure
Perform targeted adversarial testing and red-teaming
Research emerging threats relevant to AI systems and enterprise use cases
Cloud & DevSecOps
Secure cloud infrastructure, IAM, and secrets management
Integrate security checks into CI/CD pipelines without slowing teams down
Improve detection and response readiness
Hands-on experience securing enterprise and BFSI/Fintech infrastructure
Participated in CTFs across web, crypto, pwn, or mixed categories
Participated in bug bounty programs, especially private programs for fintech, cloud, or infrastructure companies
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
Skills Required
- Hands-on experience securing enterprise and BFSI/Fintech infrastructure
- Demonstrated threat modeling discipline and ability to design secure architectures
- Participation in CTFs across web, crypto, pwn, or mixed categories
- Participation in bug bounty programs, especially private programs for fintech, cloud, or infrastructure
- Hands-on experience with cloud security, IAM, secrets management, and integrating security into CI/CD (DevSecOps)
- Experience conducting adversarial testing, red-teaming, and vulnerability verification/remediation
What We Do
We are an AI/ML research and development company on a mission to build reliable, performant, enterprise-grade AI systems at scale for India. We are committed to build the full-stack for generative AI for the rich & diverse landscape of India, mainly investing in: 1) Models: developing both efficient large scale Indic language models as well as bespoke enterprise models 2) Platform: building an enterprise-grade platform that empowers organisations to develop and ship creative and performant genAI applications at scale 3) Ecosystem: contributing to open-source models and datasets, as well as leading efforts for large scale data curation in public-good space
