are accepted until further notice.
YOUR IMPACT
As a Senior Researcher, you will play a pivotal role in investigating, analyzing and mitigating emerging threats targeting AI / ML. You will work closely with the Director and Tech Lead of AI Threat Intelligence to build a world-class AI threat research capability, delivering actionable intelligence, advancing the state of AI security research, and helping secure Cisco’s AI-driven products and services. You will collaborate with fellow researchers, data scientists, security engineers, and product teams to proactively identify AI-related risks, with a strong focus on securing autonomous AI agents.
KEY RESPONSIBILITIES
- Conduct original research into AI/ML-specific threats, including prompt injection, data poisoning, adversarial attacks, model evasion, and misuse of AI agents.
- Assist in modeling threats to AI agents and analyzing the security of Model Context Protocols (MCP), focusing on risks such as context leakage, corruption, unauthorized agent behavior, and external tool abuse.
- Contribute to writing high-quality internal intelligence reports, threat assessments, technical advisories, and research papers.
- Build small proof-of-concept demonstrations to validate attack theories against AI agents, context protocols, and model memory graphs.
MINIMUM QUALIFICATIONS
- 5+ years of experience in cybersecurity threat intelligence, adversarial research, red teaming, or offensive security, with exposure to AI/ML systems preferred.
- Strong foundational knowledge of AI/ML technologies, particularly LLMs, generative models, and agentic frameworks (e.g., LangChain, Hugging Face Agents).
- Proficiency in Python or similar scripting languages for research tasks, threat simulations, and automation.
- Experience conducting threat research, writing technical analyses, and contributing to security investigations or adversarial projects.
- Ability to clearly document and present research findings to diverse technical audiences.
PREFERRED QUALIFICATIONS
- Familiarity with AI-specific threat frameworks such as MITRE ATLAS, ATT&CK for AI, or equivalent.
- Interest in responsible AI practices and secure deployment of autonomous and agentic AI systems.
- Experience working with AI/ML pipelines in cloud environments (AWS, Azure, GCP).
