AI Security Engineer

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, Cybersecurity, or related field.
• 5+ years of experience in Information Security with a focus on application and product security
• Ability to evaluate AI security platforms/tools/software.
• Solid understanding of: o Cloud and SaaS security models o Identity and access control concepts o Data protection and isolation mechanisms
• Familiarity with modern AI system components: o LLM APIs and hosting models o Agent frameworks and tool invocation o RAG pipelines and vector stores
• Understanding of GenAI and LLM-specific risks, including: o Prompt injection and indirect prompt injection o Insecure output handling o Model abuse and misuse o Data poisoning and supply-chain risk
• Ability to translate AI-specific risks into enterprise security language for decision-makers.
• Strong research and evaluation mindset
• Ability to produce clear, defensible evaluation reports
• Comfortable presenting trade-offs and risk-based recommendations
• Ability to say not suitable with evidence, when required
• Experience evaluating or approving third-party developer platforms or SaaS tools
• Exposure to AI governance or AI risk management frameworks
• Experience working with product, platform, or architecture review boards

Scope of Responsibility

• AI developer tools (e.g., coding assistants, copilots)

• AI platforms and services (LLMs, GenAI APIs, agentic platforms, RAG frameworks)

• Open-source AI tooling proposed for enterprise use