Senior AI Information Security Engineer

The role

You will secure AI within Tenable's products and across the enterprise. You will design security controls, conduct safety research, and perform threat modeling for AI/ML systems.

What you will do

• Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle.
• Conduct safety research by inspecting model internals.
• Perform AI safety assessments and threat modeling for AI/ML systems.
• Design and implement security guardrails for LLMs, SLMs, and open-source models.
• Act as a subject matter expert in AI safety research.
• Monitor the AI landscape for novel vulnerabilities and attack techniques.
• Develop security reference architectures for AI deployment patterns.
• Deploy controls to ensure model integrity, governance, and access control.
• Build AI-driven tooling to strengthen cybersecurity posture.
• Collaborate with software engineers and product teams to integrate security best practices.

Required qualifications

• 5 or more years of professional experience in information security or application security.
• At least 1–2 years focused on securing AI/ML systems.
• Deep understanding of AI-specific security threats.
• Strong coding experience in Python and/or Go.
• Experience with frameworks and libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar.
• Experience using specialized interpretability and probing tools/libraries such as TransformerLens, NNsight, Captum, or LIT.
• Familiarity with mechanistic and architectural concepts like inspecting internal model states, residual streams, attention patterns, activation steering, Sparse Autoencoders (SAEs), or feature attribu
• Strong understanding of the ML/AI lifecycle and associated security risks.
• Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services.
• Knowledge of data security principles, including encryption, masking, and tokenization.
• Knowledge of SSDLC, DevSecOps, and security testing practices.
• Knowledge of application security architecture best practices and patterns.

Nice to have

• Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments.
• Familiarity of AI security frameworks and standards, including OWASP LLM Top 10 and the NIST AI Risk Management Framework.
• Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc).
• Familiarity with AI governance frameworks (EU AI Act, NIST AI RMF, etc.).
• Background in cloud security or large-scale SaaS product environments.
• Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications.

Benefits

• Medical, dental, vision, disability and life insurance
• 401(k) retirement savings with company match
• Employee stock purchase plan
• Employee referral program
• Flexible spending accounts
• Employee Assistance Program (EAP)
• Education assistance
• Parental leave
• Paid time off (PTO)
• Company-paid holidays
• Health and wellness events
• Community programs

Before you apply

• Applicants must be authorized to work for any employer in the U.S. without sponsorship.
• Unable to provide sponsorship for work visas of any kind at the time of hire or during employment.

About the company

Tenable is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk.