AI Information Security Engineer

Tenable, Inc. • Columbia, MD

9d • $102,500 - $136,500 • Hybrid

About The Position

As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature the company's approach to securing AI in its products and across the enterprise. You will apply hands-on AI engineering experience alongside product and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. The role includes establishing standards for responsible AI use, influencing decisions across the organization, and building tools to improve security. It is suited to a practitioner with experience building or exploring AI systems and an interest in applying that experience to security.

Requirements

• At least 2 years of professional experience in information security or application security, with a demonstrated interest in securing AI/ML systems.
• Awareness of AI-specific security threats, including adversarial machine learning, data poisoning, prompt injection, model inversion, model evasion, and inference attacks.
• Knowledge of data security principles, including encryption, masking, and tokenization.
• Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling.
• Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices.
• Ability to work cross-functionally across engineering, product, and business teams.
• Strong written and verbal communication skills, including the ability to explain complex AI security risks to technical and non-technical audiences.
• Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership.
• Self-motivated and effective working independently and across distributed teams.

Nice To Haves

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field (preferred).
• Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments.
• Basic coding experience in Python and/or Go.
• Experience with PyTorch, Hugging Face Transformers, TensorFlow, or similar frameworks and libraries.
• Strong understanding of the ML/AI lifecycle and its associated security risks.
• Experience with application security assessment tools such as Burp Suite, ZAP, or Tenable WAS.
• Knowledge of AWS, Azure, or GCP cloud security platforms, including AI/ML-related services.
• Security certifications such as CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications (a plus, not required).

Responsibilities

• Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle.
• Help implement security guardrails, controls, and boundary mechanisms for large language models (LLMs), small language models (SLMs), and open-source models.
• Monitor the AI landscape for new vulnerabilities and attack techniques and proactively defend enterprise AI deployments.
• Help develop security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses.
• Deploy controls to support model integrity, governance, and appropriate access control across models and feature stores.
• Build AI-driven tooling to strengthen cybersecurity across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors.
• Perform AI safety and security assessments and threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks.
• Collaborate with software engineers and product teams to integrate security practices into AI development, training, validation, and deployment.
• Create security guidance, documentation, and training for internal engineering and development teams, and develop metrics that encourage desired security behaviors and outcomes.
• Research emerging AI security trends and contribute to solutions supporting Tenable's AI initiatives.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Disability insurance
• 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
• Variable compensation, including bonuses for non-sales roles, depending on company and individual performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level