Role OverviewWe are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications.
What You Will Do
Define and implement security controls specifically targeting LLM and AI-powered application risks, build threat models for AI systems, and design and deploy guardrails, content filters, and policy enforcement layers around model endpoints.
Why It Might Be a Fit
The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline
- Six or more years of security engineering experience, including significant work on AI or ML systems
- Strong understanding of LLM internals, modern AI architectures, and common failure modes
- Hands-on experience designing security controls for AI-powered applications
- Deep knowledge of application security, identity, and cryptography fundamentals
- Experience with threat modeling and security architecture review processes
- Proficiency in Python and at least one systems language
- Strong understanding of cloud security and modern infrastructure controls
Benefits
- Salary Range: $100,000–$150,000 Annually
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