We have an opportunity for an AI Security Engineer with enterprise offensive security, penetration testing, and hands-on understanding of AI/ML systems.
Experience with LLM security, prompt safety testing or generative AI governance, and cloud platforms is required.
The role includes adversarial testing of AI models, agents, MCP integrations, APIs, and infrastructure.
Testing extends across model-serving environments, gateways, tool-calling layers, and third-party integrations, including attack surface mapping, exploit chaining, and remediation validation.
You will translate security findings into practical guidance for application teams and communicate results to technical, risk, and compliance stakeholders.
Responsibilities include strengthening AI integrations, system prompts, and guardrails and contributing to standards for custom AI solutions and AI-enabled SaaS platforms.
Experience with AWS, Azure, or Google Cloud Platform is required, with AWS preferred.
OSCP, CCSP, and cloud certifications are preferred.
This position is fully remote and requires availability during Eastern time zone working hours.