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Niche AI-security focus reduces applicants, but metro location and mid-level (4+ years) demand increase competition.
Highly specialized AI security, agent identity, and LLM expertise limit easy cross-industry transferability.
Explicit 4+ years requirement, mandatory AI security research skills, and rigorous technical PoC expectations make screening strict.
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Lead continuous AI security research focusing on Agent Identity Security platform, identifying threats and developing protoypes to improve platform security.
Evaluate and challenge AIS architecture and components for security weaknesses, providing recommendations to preempt customer risks.
Publish research outputs including white papers, threat models, and competitive intelligence to influence AIS product roadmap and industry standards.
4+ years of cybersecurity experience with significant security research or related discipline experience.
Strong hands-on programming skills in Python for building research tools, attack simulations, and PoCs.
Focused experience and deep understanding in AI/ML security, LLM security, Agentic AI frameworks, and related AI identity and protocol security.
Work Experience Required: 4+ years; Location: Bangalore or Coimbatore.
Experienced technical researcher capable of independently conducting advanced security research from hypothesis to product impact in the AI security domain.
Expertise in AI agent protocols, Agent Identity Security challenges, and emerging AI cybersecurity standards.
Ability to convert complex research into actionable engineering recommendations, technical publications, and strategic competitive analysis.