AI Security Engineer - Senior Advisor

Overview

Join the Cybersecurity Engineering & Operations team in Ireland as a Senior Advisor and AI Security Engineer. In this role, you will contribute significantly to securing AI and identity/access management infrastructures within an enterprise environment, collaborating with stakeholders, partners, and vendors. This position offers an opportunity to research innovative technologies and emerging security practices to enhance the organization's AI security strategy.

Key Responsibilities

• Manage and secure AI-related cloud infrastructure across its lifecycle, ensuring comprehensive auditability.
• Develop and enforce security measures such as access management over AI pipelines, model endpoints, and data storage.
• Collaborate with product and engineering teams to architect secure AI solutions.
• Assist in incident response by investigating logs, API activities, and data access for AI systems.

Required Qualifications

• Minimum of four years’ experience securing or managing enterprise public cloud platforms like AWS, Azure, GCP, or OCI.
• Hands-on experience in AI security or a demonstrated strong interest with aptitude to develop in this area.
• Understanding of cloud security principles and identity and access management (IAM) concepts.
• Proficiency in scripting languages such as Python or PowerShell and integrating with RESTful APIs.
• Effective problem-solving abilities and clear communication with both technical and non-technical audiences.

Preferred Qualifications

• Bachelor’s degree in Cybersecurity, Information Systems, or a related discipline, or equivalent practical experience.
• Knowledge of AI agent frameworks, MLOps platforms, and AI governance.
• Relevant cloud and security certifications (e.g., CCSP, CCSK, AZ-500, SC-300, Google PCSE).
• Experience with cloud networking concepts such as VPCs and Transit Gateways.
• Familiarity with AI security and governance frameworks including NIST AI Risk Management Framework, OWASP Top 10 for LLM and Agentic AI applications.
• Understanding of application security best practices including secure CI/CD design, automated security testing (SAST, DAST, SCA), shift-left methodology, and infrastructure-as-code security.
• Experience with AI gateway and orchestration tools like LiteLLM, Kong, and Guardrails for managing language model routing, API governance, and content safety.
• Exposure to vulnerability management in cloud and containerized environments.

Additional Information

The company offers an inclusive work environment dedicated to equal employment opportunity and fostering a discrimination-free workplace. You will be part of an organization committed to diversity and making a meaningful social impact through technology. The application deadline is August 21, 2026.