You develop, implement, and maintain security policies and controls for Generative AI solutions, ensuring secure deployment of internal and client-facing AI agents and platforms.
You assess the risks related to AI-generated content, model hallucination, prompt injection, data leakage, and adversarial inputs, and define appropriate mitigation strategies.
You oversee and monitor the secure usage of foundation models, APIs (e.g., OpenAI, Azure OpenAI), and locally deployed LLMs in alignment with corporate cybersecurity and data governance policies.
You collaborate with DevOps and AI engineers to implement security gates in AI model training, deployment pipelines, and runtime environments.
You ensure secure integration of GenAI platforms (e.g., AI copilots, chatbots, agentic systems) into enterprise systems and protect access to sensitive or regulated data.
You perform regular threat modelling and security assessments of AI-based architectures and ensure that AI security requirements are addressed early in the design process.
You contribute to establishing an internal AI usage governance framework including role-based access control, data classification enforcement, and ethical use policies.
You monitor evolving regulatory landscapes (e.g., EU AI Act, GDPR in AI use cases) and advise on necessary compliance actions.
You act as the subject matter expert for GenAI-related security incidents, supporting detection, response, and forensics.
You raise awareness among employees on secure usage of GenAI technologies through internal trainings and guidelines.
Your profile
You hold a university degree in IT, Cybersecurity, or a related field, or have equivalent professional qualifications.
You have at least 2 years of experience working in cybersecurity, preferably with exposure to AI and ML systems or advanced data analytics environments.
You possess strong knowledge of AI / ML security concepts, including model threats, data poisoning, and LLM misuse scenarios.
You are familiar with AI development and deployment workflows (e.g., LangChain, RAG architectures, MLOps pipelines).
You have experience with security tools and frameworks for cloud-native and GenAI environments (e.g., AWS Bedrock Security, Azure AI Security, Guardrails, prompt filters).
You are proactive in staying updated on emerging AI security threats, open research, and policy developments.
You are comfortable working closely with developers, architects, data scientists, and legal / compliance teams.
You have excellent written and verbal communication skills in English; knowledge of French or German is considered an asset.
Certifications in cybersecurity (e.g., CISSP, CISM), cloud security (e.g., CCSP, AWS Security Specialty), or AI ethics / security (e.g., MIT AI Ethics MicroMasters, NIST AI RMF) are a strong asset.
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Expert • EschsurAlzette, EschsurAlzette, LU
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