Senior Staff AI Security Engineer / Applied Researcher

Summary

Join ServiceNow to pioneer new approaches to secure the AI development lifecycle, creating systems that govern how agents interact safely with tools and APIs. Design and build defenses that secure the Agentic AI ecosystem, LLMs, and cutting-edge AI models. Proactively identify and mitigate risks by creating foundational security solutions. Develop scalable, secure-by-design frameworks that empower developers to build trustworthy applications. Continuously implement cutting-edge research and standards in agentic identity, authorization, and permissioning, converting insights into production-grade controls and services. Shape our long-term AI security roadmap and establish new industry standards.

Requirements

• A Master’s degree or PhD in Computer Science, or a related technical field, with a specialisation in Security or AI/ML
• 7 years of experience with security assessments, design reviews or threat modelling
• 7 years of experience in security engineering, computer and network security and security protocols
• 7  years of programming experience in Java or Python
• Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph)
• Familiarity with authentication/authorization protocols (e.g., OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (e.g. MCP, A2A)
• A proactive and collaborative mindset, with a passion for continuous learning and a drive to solve complex challenges as part of a team

Responsibilities

• Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models
• Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions
• Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications
• Continuously drive and implement cutting-edge research and standards in agentic identity, authorization, and permissioning while converting those insights into production-grade controls and services deployed across the ServiceNow platform

Preferred Qualifications

• Expertise in AI/ML security, including model and infrastructure vulnerabilities and their mitigation strategies
• Deep understanding of Large Language Models (LLMs), Multimodal Language Models (MLLMs), and agentic workflows
• Experience developing or evaluating security controls for agentic AI systems, including identity and consent models for multi-party protocols (e.g., MCP, A2A)
• Proficiency in implementing secure communication protocols for agent-to-agent interactions, such as OAuth 2.0, API keys, and PKCE
• A track record of contributions to the security and AI/ML communities, such as publications in top-tier venues, conference presentations, CVEs, or significant open-source projects