Roles & Responsibilities
Key Responsibilities
- Define and own the AI Security technology and research roadmap aligned to multi-year TIC objectives.
- Lead and govern advanced AI security research spanning model inspection, unlearning, provenance, and compliance assurance.
- Act as Chief Architect for AI Security platforms including scanners, verification pipelines, lineage systems, and policy engines.
- Drive translation of research outcomes into proofs of concept, benchmarked solutions, and deployable platform components. - Establish technical standards for security claims, verification, benchmarking, and reproducibility.
- Provide technical leadership and mentorship to research, engineering, MLOps, and product teams.
- Ensure adherence to emerging global AI security standards, regulatory expectations, and compliance requirements.
- Lead intellectual property generation and publication in reputed AI and security forums.
- Represent in relevant external technical, academic, and industry engagements
related to AI security.
Required Skills
Required Technical Skills
- Deep expertise in Large Language Models, foundation models, fine-tuning, LoRA/adapters, and RAG-based architectures.
- Strong understanding of model internals including weight-space analysis, activation behaviour, and interpretability.
- AI security and forensics experience covering model fingerprinting, backdoor detection, model reuse/derivation analysis, and supply-chain risk.
- Hands-on knowledge of model unlearning techniques, verification methods, privacy assurance, and side-effect control.
- Architecture experience for scalable AI security platforms, including experimentation pipelines, MLOps, APIs, and enterprise deployment.
Leadership & Personal Attributes
- Recognised technical authority with strong analytical and problem-solving skills.
- Ability to operate across research depth, architectural design, and executive level communication.
- Mentorship-oriented leadership style with a long-term innovation mindset.
Success Indicators
- Establishment of a world-class AI Security research and innovation capability.
- Delivery of differentiated AI security technologies progressing from research to platform adoption.
- Strong external recognition through publications, IP creation, and industry impact.
** Premier Institutes (Technology) : Indian Institute of Science, Indian Institute of Technology, NIT Trichy, NIT Warangal, IIIT Allahabad
Premier Institutes (CoE Cybersecurity) : Amrita Vishwa Vidyapeetham TIFAC CORE, Indian Institutes of Science Education and Research
Premier Institutes (Math, Crypto, Cybersecurity) : Indian Statistical Institute, Chennai
Mathematical Institute, Madras Institute of Mathematics, (it is good to have association with Institute of Mathematical Science, Chennai or Indian Academy of Science, Bengaluru, or TIFR)
Education & Qualifications
Education:
- PhD or Master’s degree (CS, AI/ML, Crypto, Cybersecurity) from Premier institute** with strong research depth in Artificial Intelligence, Machine Learning,
Computer Science, Cybersecurity, or related fields.
Experience: - 15+ years of experience in advanced AI/ML research, security engineering, or deep-tech system architecture.
- Earlier Experience: R&D labs, Research projects, Product companies, AI projects, Enterprise solutions ownership - Proven experience leading principal-level technical or research initiatives and translating research into real-world systems.
- Earlier Experience as CTO (in similar tech domain) is preferable.