AI Security Engineer

Tenable

. Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle .

Posted 9/24/2026full-timeUnited StatesMid-LevelSenior💰 $122,500 - $163,167 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML security, including threat modeling, security assessments, and the implementation of security controls across the AI lifecycle. Proficient in Python and familiar with major AI frameworks, with a strong understanding of data security principles and cloud services.

Highest-signal resume keywords

AI/ML Security ThreatsPython ProgrammingThreat ModelingDevSecOps PracticesData Security Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML SecurityThreat ModelingPythonGoData PoisoningAdversarial MLSSDLCDevSecOpsSecurity AssessmentsModel Integrity

Soft Skills

Problem-SolvingAttention to DetailCommunicationProject LeadershipSelf-Motivation

Tools & Technologies

PyTorchTensorFlowHugging Face TransformersAWSAzureGCPDockerMicroservicesSecurity Assessment ToolsAI Governance Frameworks

Industry Keywords

AI SecurityApplication SecurityData SecurityCloud SecurityNIST AI Risk Management FrameworkOWASP LLM Top 10AI Red TeamingLarge-Scale SaaS ExperienceSecurity DocumentationAI-Driven Cybersecurity

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformMicroservicesPythonPyTorchTensorflowGo

About the role

Key responsibilities & impact

Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle
Conduct safety research by inspecting model internals for hidden deception, latent knowledge, and unwanted concepts
Perform AI safety assessments and threat modeling for AI/ML systems
Identify risks including data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks
Design and implement security guardrails, controls, and boundary mechanisms for LLMs, SLMs, and open-source models
Monitor the AI landscape for vulnerabilities and attack techniques
Develop security reference architectures for AI deployment patterns, MCP servers, and agentic AI workflows
Deploy controls for model integrity, governance, and access control across models and feature stores
Build AI-driven cybersecurity tooling across identity, incident management, vulnerability management, third-party risk, and emerging AI threats
Collaborate with software engineers and product teams to integrate security practices into AI development, training, validation, and deployment
Drive SSDLC and DevSecOps practices, including threat modeling, security testing, penetration testing, and CI/CD security automation
Create security guidance, documentation, training, and metrics for engineering and development teams
Research emerging AI security trends and contribute to Tenable’s AI initiatives

Requirements

What you’ll need

5 or more years of professional experience in information security or application security, with at least 1–2 years focused on securing AI/ML systems
Master’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred; advanced degree preferred
Deep understanding of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks
Strong coding experience in Python and/or Go
Experience with PyTorch, Hugging Face Transformers, TensorFlow, or similar frameworks and libraries
Experience with TransformerLens, NNsight, Captum, or LIT
Familiarity with inspecting internal model states, residual streams, attention patterns, activation steering, Sparse Autoencoders (SAEs), or feature attribution
Strong understanding of the ML/AI lifecycle and associated security risks
Knowledge of AWS, Azure, or GCP, including AI/ML-related services
Knowledge of data security principles, including encryption, masking, and tokenization
Knowledge of SSDLC, DevSecOps, SAST, DAST, SCA, and threat modeling
Knowledge of application security architecture, modern web applications, Docker, and microservices
Ability to work across engineering, product, and business teams
Strong written and verbal communication skills
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
Applicants must be authorized to work for any employer in the U.S. without sponsorship; Tenable cannot provide work-visa sponsorship
AI red teaming, adversarial prompt testing, LLM security assessments, OWASP LLM Top 10, NIST AI Risk Management Framework, application security assessment tools, AI governance frameworks, cloud security or large-scale SaaS experience, and security certifications are listed as ideal or a plus

Benefits

Comp & perks

Variable compensation/bonus for non-sales roles based on company and individual performance
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