# Senior AI Information Security Engineer

**Company**: Tenable
**Location**: US - Remote - Massachusetts , US - Headquarters - Maryland - Columbia
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $122,500-$163,166.67 USD
**Category**: Security
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/tenableinc/jobs/5434299008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9863f383-3d6

## Description

As a Senior AI Information Security Engineer at Tenable, you will help shape and mature the company's approach to securing AI within its products and across the enterprise.

You will apply hands-on AI engineering experience alongside deep product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely.

Your responsibilities will include:

- Designing, implementing, and maintaining end-to-end security controls across the AI/ML lifecycle.

- Conducting safety research, inspecting model internals to detect hidden deception, latent knowledge, or unwanted concepts.

- Performing AI safety assessments and threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, and integrity attacks.

- Designing and implementing robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models.

- Acting as a subject matter expert in AI safety research.

- Continuously monitoring the AI landscape for novel vulnerabilities and attack techniques.

- Developing security reference architectures for AI deployment patterns.

- Deploying controls to ensure model integrity, governance, and proper access control.

- Building AI-driven tooling to strengthen cybersecurity posture.

- Collaborating with software engineers and product teams to integrate security best practices into AI development.

- Driving Secure Software Development Lifecycle (SSDLC) and DevSecOps practices for AI-powered products.

- Creating security guidance, documentation, and training for internal engineering and development teams.

Requirements:

- 5+ 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.

- 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.

- Familiarity with specialised interpretability and probing tools/libraries.

- Strong understanding of the ML/AI lifecycle and security risks.

- Knowledge of cloud security platforms, data security principles, and SSDLC practices.

- Ability to work cross-functionally and communicate complex AI security risks effectively.

Ideal candidates will have hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments, as well as familiarity with AI security frameworks and standards.

## Skills

### Required
- AI security
- Application security
- Information security
- Python
- Go
- PyTorch
- TensorFlow
- Cloud security
- Data security

### Nice to have
- AI red teaming
- Adversarial prompt testing
- LLM security assessments
- AI security frameworks
- OWASP LLM Top 10
- NIST AI Risk Management Framework

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/tenableinc/jobs/5434299008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)