Senior AI Security Engineer (AI)

TL;DR

Senior AI Security Engineer (AI/Cybersecurity): Designing and advancing enterprise-wide security strategies and architectures for AI, GenAI, and machine learning platforms with an accent on secure AI lifecycles and adversarial threat mitigation. Focus on implementing security controls for LLM-based systems, agentic AI frameworks, and ensuring resilient, compliant AI deployments at scale.

Location: Hybrid in Dublin, Ireland

Company

A global provider of business decisioning data and analytics.

What you will do

• Lead the design and evolution of enterprise-grade security architectures for AI, GenAI, and ML platforms.
• Define security strategies, standards, and reference architectures for organizational AI systems.
• Implement security controls for LLM-based systems, agentic AI frameworks, and AI-driven APIs.
• Conduct complex threat modeling, red-teaming, and adversarial testing against AI models and data ecosystems.
• Integrate DevSecOps practices into AI CI/CD pipelines, including automated security testing and monitoring.
• Collaborate with cloud and infrastructure teams to maintain secure-by-default environments across multi-cloud ecosystems.

Requirements

• Bachelor’s degree in Computer Science, AI, Cybersecurity, or a related field.
• 8-12 years of experience in security engineering with deep specialization in AI/ML platforms.
• Advanced expertise in LLMs, RAG architectures, vector databases, and agentic frameworks.
• Strong knowledge of AI threat models, including prompt injection, model manipulation, and data poisoning.
• Extensive experience with cloud security (AWS, Azure, GCP) and Kubernetes.
• Fluency in English is required.

Culture & Benefits

• 25 days annual leave plus paid volunteer and un-sick days.
• Flexible hybrid working model.
• Comprehensive health insurance and mental health support.
• Pension contributions and life assurance.
• Educational Assistance Program and Life-Style Account for health and leisure.