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JOB DESCRIPTION

AI Security Engineer

Role Overview

AI Security Engineers protect AI systems, models, data and applications from security threats and misuse.

The role combines application security, data security, adversarial ML and responsible AI controls.

 

Alternative Job Titles

  • ML Security Engineer
  • GenAI Security Engineer
  • AI Trust & Safety Engineer

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Missions principales

Main Responsibilities

Assess threats such as prompt injection, data leakage, model theft, poisoning and adversarial attacks.

Design security controls for LLM applications, APIs, data pipelines and model serving.

Conduct red teaming, vulnerability testing, monitoring and incident response for AI systems.

Work with security, data, engineering and governance teams to implement policies and guardrails.

Competencies & Skills

 

  • Knowledge of application security, cloud security, IAM, encryption and secure SDLC.
  • Understanding of LLM risks, model security, data privacy and AI red teaming methods.
  • Experience with threat modelling, penetration testing or security operations is preferred.
Missions principales

Education & Training

  • Bachelor’s degree or above in Cybersecurity, Computer Science, Software Engineering or related fields.
  • Security certifications or AI security project experience are a plus.

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