Sr. AI/LLM Threat Researcher, Agentic Systems - AI Detection and Response (Hybrid)
CrowdStrike · Austin, TX · 3 wk ago
Information Technology$140k–$215k/yrFull-time
About the role
The role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.
What You'll Do
- Vulnerability Research: Conduct deep-dive analysis into LLM architectures and agentic frameworks to identify potential security weaknesses, including risks associated with prompt injection and safety filter bypasses.
- Agentic Security Analysis: Evaluate the security boundaries in Agent-to-LLM and Agent-to-Application interactions, focusing on how autonomous loops and multi-step reasoning processes can be secured against manipulation.
- Security Assessment: Develop methodologies to test the robustness of RAG (Retrieval-Augmented Generation) pipelines and third-party tool integrations, ensuring resilience against adversarial inputs.
- Framework Alignment: Map research findings and defensive strategies to industry standards, such as the MITRE ATLAS framework and the OWASP Top 10 for LLM Applications.
- Thought Leadership: Contribute to the security community by publishing whitepapers or presenting research on the safety and security challenges of AI agents at industry conferences.
What You'll Need
- Core AI Knowledge: Comprehensive understanding of transformer architectures, attention mechanisms, and the lifecycle of LLM development.
- Agentic Systems Expertise: Experience with AI orchestration frameworks and the security implications of autonomous decision-making and long-term memory in AI systems.
- Comprehensive understanding of LLM Prompts, MCP, A2A and various emerging AI protocols.
- Threat Landscapes: Knowledge of the evolving LLM risk landscape, specifically regarding insecure output handling, data integrity, and model robustness.
- Security Evaluation: Proficiency in Python and experience with AI security evaluation frameworks or custom red-teaming methodologies designed to improve system defenses.
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points
- A record of academic publications or public research regarding AI/ML security and risk mitigation.
- Experience in AI red teaming or participating in security evaluation programs.
- Experience developing defensive layers, such as guardrail systems or monitoring solutions for agentic workflows.
Benefits Of Working At CrowdStrike
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe