
AI Security Research and Development Expert
3 days ago
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.
We are seeking an expert in AI security research to work at the forefront of applied AI security. This role involves analyzing and modeling risks, simulating adversarial attacks, and engineering resilient defenses for Large Language Models (LLMs), intelligent agents, and AI orchestration frameworks.
Key Responsibilities
- Risk Modeling and Simulation
- Conduct threat modeling for LLMs, multi-agent systems, plugin/tool-based architectures, and other AI applications.
- Simulate real-world adversarial scenarios, including prompt injection, model manipulation, jailbreaking, supply chain abuse, and other emerging vectors.
- Defense Strategy and Implementation
- Design and implement robust defense strategies and mitigations against identified vulnerabilities.
- Application Security Principles
- Apply application security principles to the unique attack surfaces and architectures of AI systems.
- Red Team Playbooks and Exploits
- Develop red team playbooks to test resilience of AI-driven environments under advanced attack conditions.
- Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
- Threat Monitoring and Analysis
- Continuously monitor and analyze evolving threats around AI safety, data governance, compliance, and adversarial misuse.
- Methodology Advancement
- Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.
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