Information Security Engineer (AI Security) | 1
Core
Define security guardrails, perform risk assessments and red-team exercises, and support AI solutions throughout their lifecycle to ensure secure, scalable, and compliant use of AI technologies.
Role type
Information Security Engineer (AI Security)
Builds
Secure AI systems including LLMs, GenAI solutions, agentic systems, and RAG architectures
Domain
Information Security / Artificial Intelligence
Deliverable
production ML models
Required skills
Threat modeling, security assessments, architecture reviews, design reviews, enterprise security controls, audit logging, monitoring, security observability, stakeholder management, incident response, forensic analysis
Preferred skills
EU AI Act knowledge, secure-by-design principles, agentic AI systems, Retrieval-Augmented Generation (RAG) architectures, model governance, AI supply chain security, AI security testing frameworks, adversarial testing techniques
Technologies
LLMs, GenAI, agentic AI, RAG architectures
Responsibilities
Perform threat modeling and security assessments for AI systems; Identify, assess, and mitigate AI-specific risks such as prompt injection and data poisoning; Define and implement AI security guardrails including input/output controls and rate limiting; Conduct security reviews and approval processes before AI solutions are deployed; Plan and execute AI-focused red-team and adversarial testing activities; Define logging, monitoring, alerting, and incident response approaches for AI-based systems
Seniority
Mid-to-Senior, hands-on IC
