AI Security Lead

Job Description:

The Sr

AI Security Lead AI Security Lead will be responsible for conducting advanced technical research performing adversarial evaluations developing AI security testing methodologies and supporting the implementation of security controls within AI models and pipelines to ensure resilience against adversarial manipulation and exploitation threats

This role focuses on designing and executing AI security experiments identifying vulnerabilities supporting the development of defensive mechanisms contributing technical insights to AI security tooling and collaborating with engineering Responsible AI teams and security specialists to improve model robustness safety and secure deployment within the R D environment

Key Responsibilities:

AI Security Evaluations

Conduct structured adversarial testing vulnerability analysis and security assessments on AI models datasets and pipelines to identify technical weaknesses

Design AI Security Testing Methodologies

Develop evaluation strategies attack simulations and test cases that examine model behavior under adversarial and stress conditions

Analyze Model Vulnerabilities

Review model outputs logs and error patterns to detect indicators of poisoning evasion extraction attempts or unsafe behavior requiring mitigation

Support Development of AI Defense Mechanisms

Contribute technical insights for designing and implementing guardrail components safety filters validation controls and secure model behavior constraints

Conduct Research on Emerging AI Threats

Study new attack surfaces such as prompt injection model inversion indirect influence attacks and supply chain vulnerabilities relevant to modern AI systems

Build Security Testing Scripts and Pipelines

Create and maintain scripts automation tasks and evaluation pipelines that streamline security testing red team simulations and model behavior monitoring

Document AI Security Findings

Prepare technical reports vulnerability summaries experiment results and evidence artifacts that support security reviews and R D decision making

Collaborate with Cross Functional Teams

Work with engineering Responsible AI cybersecurity and data science teams to jointly investigate issues and integrate necessary security improvements

Secure Model Deployment Activities

Assist in validating the security posture of models before deployment by verifying guardrail integration access controls and vulnerability remediation

Monitor Emerging AI Security Tools and Techniques

Continuously evaluate new defensive methods adversarial testing libraries and AI security research to enhance testing capabilities and inform tooling upgrades

Technical Requirements:

Strong proficiency in Python with experience building security evaluation scripts and adversarial testing utilities

Knowledge of adversarial ML techniques including evasion poisoning extraction inversion and prompt manipulation methods

Familiarity with adversarial testing frameworks and libraries e

g

TextAttack IBM ART PyRIT MITRE ATLAS tools

Understanding of ML and DL model behavior architecture vulnerabilities and LLM specific attack vectors

Experience with red team style testing for LLMs RAG systems and multimodal AI systems

Knowledge of MLOps LLMOps workflows and integrating security tests into CI CD evaluation pipelines

Preferred Skills:

Technology->AI-Responsible AI->Responsible AI->explainable ai