Principal AI Security Engineer

Principal AI Security Engineer

As the Principal AI Security Engineer at ServiceNow, you will play a critical leadership role in shaping the future of AI security across the company’s GenAI initiatives. Reporting directly to the Director of AI Security, you will lead the formation and growth of a high-caliber AI security research team focused on discovering, analysing, and mitigating risks unique to large language models (LLMs), generative AI, and other advanced ML technologies.

You will act as the company’s foremost subject matter expert in AI/ML security, driving both strategic direction and technical depth. Your work will directly influence the secure design, development, and deployment of ServiceNow’s AI-powered products. You will guide engineers and AI practitioners in implementing robust protections, and collaborate across the business to embed AI security principles throughout the MLOps lifecycle—from research to production.

Key Responsibilities

• Build, lead, and mentor a specialised AI security research team to investigate vulnerabilities and emerging threats in GenAI systems.
• Serve as the primary thought leader on GenAI risks at ServiceNow—identifying attack vectors, modelling threats, and proposing effective mitigations.
• Develop and oversee research programs focused on adversarial machine learning, model abuse, LLM jailbreaks, data poisoning, privacy leakage, and other key AI security domains.
• Direct the AI Security engineering and applied AI team members in developing security tools, processes, and safeguards for model development, training, deployment, and runtime.
• Act as a technical advisor to product, platform, and engineering stakeholders on secure AI architecture, safe LLM integration, and responsible AI practices.
• Represent ServiceNow in external forums, publications, and conferences as a thought leader in the AI security field.

Qualifications

In order to be successful in this role, we need someone who has:

• 10+ years of experience in security research, with a strong emphasis on AI/ML, GenAI, or adversarial systems.
• Ph.D. or M.Sc. in a relevant field
• Proven ability to lead and mentor security research teams in high-impact environments.
• Deep understanding of large language models (LLMs), Agentic AI, transformer architectures, and associated attack surfaces.
• Demonstrated experience influencing secure development lifecycles (SDLC/MLOps) with tooling, automation, and policy.
• Excellent collaboration skills, with a track record of working across cross-functional teams in research-driven environments.
• Strong publication or presentation history in AI/ML security or related fields (e.g., OWASP, USENIX, IEEE S&P, Black Hat, NeurIPS, DEF CON) - Preferred