Conduct comprehensive security assessments for internal and external generative AI systems

Develop and execute security testing methodologies for Generative AI models

Assist with setting up local language models using tools like ollama

Identify and document potential vulnerabilities in Generative AI systems

Analyze Generative AI model risks, including prompt injection, data leakage, and adversarial attacks

Create detailed technical reports on Generative AI security findings and configuration guidelines

Collaborate with internal AI development teams to implement security recommendations

Research emerging AI security threats and mitigation strategies

Degree in Cybersecurity, Computer Science or the equivalent with minimum 1 year of relevant experience in IT, cybersecurity and risk management

Basic understanding of machine learning and AI principles

Sound knowledge in Generative AI models
o              GPT
o              Llama
o              Claude
o              DeepSeek

Proficiency in:
o              Python
o              Cybersecurity tools
o              Machine learning model analysis
o              Vulnerability assessment techniques

Familiarity with:
o              AI model testing frameworks
o              Adversarial machine learning concepts
o              Cloud security principles
o              Running or setting up locally run models (ie ollama)
o              Prompt engineering techniques