Chief Artificial Intelligence Defender

1 week ago

Shimoga, Karnataka, India beBeeResearch Full time ₹ 15,00,000 - ₹ 25,00,000
AI Security Research Engineer

This role sits at the intersection of cybersecurity and advanced AI, where the challenge is not just securing systems but anticipating how intelligent models and agents can be subverted, manipulated, or misused.

Key Responsibilities:
  • Threat Modeling: Conduct threat modeling for Large Language Models (LLMs), multi-agent systems, plugin/tool-based architectures, and other AI applications.
  • Adversarial Scenarios: SIMULATE real-world adversarial scenarios, including prompt injection, model manipulation, jailbreaking, supply chain abuse, and other emerging vectors.
  • Defense Strategies: Design and implement robust defense strategies and mitigations against identified vulnerabilities.
  • Application Security: Apply application security principles to the unique attack surfaces and architectures of AI systems.
  • Red Teaming: Develop red team playbooks to test resilience of AI-driven environments under advanced attack conditions.
  • Proof-of-Concept Exploits: Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
  • Threat Analysis: Continuously monitor and analyze evolving threats around AI safety, data governance, compliance, and adversarial misuse.
  • Security Methodologies: Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.

This involves analyzing and modeling risks, simulating adversarial attacks, and engineering resilient defenses for LLMs, intelligent agents, and AI orchestration frameworks.

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