Sr. AI/LLM Threat Researcher, Agentic Systems - AI Detection and Response (Hybrid)
CrowdStrike•Redmond, WA
•$140,000 - $215,000•Hybrid
About The Position
As an AI Threat Researcher, you will lead the charge in identifying, documenting, and mitigating emerging threats against Large Language Models (LLMs) and AI Agents. You will go beyond traditional prompt engineering to dissect the security of complex AI Workflows and Agentic Loops, uncovering how multi-step reasoning and tool-calling can be exploited by sophisticated adversaries. PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.
Requirements
- Comprehensive understanding of transformer architectures, attention mechanisms, and the lifecycle of LLM development.
- 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.
- Knowledge of the evolving LLM risk landscape, specifically regarding insecure output handling, data integrity, and model robustness.
- Proficiency in Python and experience with AI security evaluation frameworks or custom red-teaming methodologies designed to improve system defenses.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
- Develop methodologies to test the robustness of RAG (Retrieval-Augmented Generation) pipelines and third-party tool integrations, ensuring resilience against adversarial inputs.
- Map research findings and defensive strategies to industry standards, such as the MITRE ATLAS framework and the OWASP Top 10 for LLM Applications.
- Contribute to the security community by publishing whitepapers or presenting research on the safety and security challenges of AI agents at industry conferences.
Benefits
- 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
- health insurance
- 401k
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
