3+ year of Risk ManagementBasic understanding of GenAI ecosystemsAbility to review AI prompt inputsBasic scripting ability (Python
Required
Bachelor’s Degree in Information Technology, Information Security, Business or Risk Management (or equivalent experience)
3+ year of Risk Management, Security Assessment, or a related field.
Basic understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, and simple agent workflows.
Awareness of common AI-specific attack vectors such as prompt injection, data leakage, model inversion, and unsafe agent actions.
Familiarity with fundamental AI security testing tools and evaluation frameworks, with willingness to learn more advanced tools over time.
Ability to identify basic AI system issues such as hallucinations, unauthorized access attempts, or harmful outputs.
Understanding of core cloud security concepts across Azure/AWS/GCP, focused on identity, logging, and boundary protections.
Ability to review AI prompt inputs, configuration settings, guardrails, and simple testing outputs with guidance from senior staff.
Basic scripting ability (Python, JS, or similar) to help build or update small test cases and simple automation scripts.
Ability to apply AI security and Responsible AI requirements using checklists, templates, and system documentation provided by senior team members.
Solid communication and writing skills to help document and share test results, findings, and recommended mitigations in a clear and structured format.
Ability to communicate observed issues to engineers and product teams under the guidance of senior reviewers.
