Job
Core
Design and implement security controls for AI/ML systems, including LLMs, RAG pipelines, and AI APIs, across the development, training, and production lifecycle.
Role type
AI Security Engineer
Builds
Secure AI/ML systems, guardrails, content filters, and monitoring for anomalous AI behavior
Domain
Artificial Intelligence / Machine Learning Security
Deliverable
production ML models
Required skills
AI/ML system security, LLM security, threat modeling, Python, cloud platforms (AWS/Azure/GCP), API security, container security (Docker/Kubernetes), AI-specific risk mitigation
Preferred skills
RAG architecture, vector databases, ML pipelines (MLflow/Kubeflow/SageMaker), AI governance frameworks (EU AI Act/NIST/ISO), AI red teaming, fintech regulatory experience
Technologies
Python, AWS, Azure, GCP, Docker, Kubernetes, MLflow, Kubeflow, SageMaker
Responsibilities
Design security controls for AI/ML systems; Identify and mitigate AI-specific threats (prompt injection, model poisoning, adversarial attacks); Integrate AI security checks into CI/CD pipelines; Ensure compliance with GDPR and financial regulations; Contribute to AI security standards and policies
Seniority
Mid-level, hands-on IC