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# AI Security Engineer

- **Company:** Nn Digital Hub
- **Location:** Netherlands (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Systems Integration, Flexi (Photoshop Plugin), DevOps Tools - Open-source, Large Language Models, Cyber Warfare, Automation Anywhere
- **Published:** November 7, 2026
- **Apply:** https://www.nn-globalcareers.com/vacature/outbound/1898

## About the Role

* More than five years of professional experience.
 * A solid understanding of AI, LLM and ML technologies and their security.
 * Experience designing AI workflows and integrating them into business processes and third-party systems.
 * Confidence working with cloud and DevOps tooling.
 * Strong problem-solving skills.
 * The ability to make clear proposals, take technical decisions, and set priorities in your area.
 * responsible, accountable, and thoughtful approach.
 * Advanced English skills.
 * A university degree.

## Description

* Take ownership of the technical architecture and delivery of assigned AI security initiatives across CDC platforms, helping improve security operations, threat detection, and investigations.
 * Make sure AI capabilities are deployed securely and are easy to maintain.
 * Build scalable solutions and patterns for bringing AI and data platforms into use across the company, including Databricks or similar environments.
 * Set logging requirements and onboard security-relevant telemetry from AI platforms.
 * Build, tune and maintain security monitoring use cases for AI and data platforms.
 * Look for potential attack vectors and ways AI workloads or their supporting infrastructure could be misused.
 * Work closely with Detection Engineers, Threat Hunters, SOC analysts and other business stakeholders to design, implement and improve AI-related security capabilities and workloads.
 * Step in as technical lead for individual projects when needed, coordinating and guiding contributing engineers without formally managing them.
 * Make technical decisions independently, in alignment with the Product Owner.
 * Mentor engineers and encourage good engineering practices.
 * Keep improving how we work and create modern Azure services and emerging AI technologies.
 * Keep documentation clear and contribute to internal knowledge bases.