Want to help shape how AI is secured in a large-scale enterprise environment? Join a team focused on enabling the secure adoption of AI across modern cloud environments. As an AI Security Engineer, you'll help embed security into AI initiatives from concept through deployment, ensuring new solutions are both innovative and resilient. You'll work closely with engineers and security specialists to design practical security solutions that accelerate AI innovation without compromising security. What you'll be doing:
Designing and implementing security controls for AI-powered applications and services
Building security guardrails for Large Language Models (LLMs) and generative AI solutions
Protecting AI systems against threats such as prompt injection, data leakage, adversarial attacks, data poisoning and model extraction
Establishing secure AI development and deployment practices across cloud environments
Supporting AI initiatives from the early stages by providing security guidance and enabling faster, more secure delivery
Performing security assessments, threat modelling and risk evaluations for AI use cases
Developing reusable security patterns, templates and best practices for AI implementations
Collaborating with engineering, architecture and security teams to embed security throughout the AI lifecycle
Acting as a subject matter expert and sharing knowledge on AI security topics
Požadavky
What makes you a great fit:
Bachelor's or Master's degree in Computer Science, Cybersecurity or a related field
3–5 years of experience in security engineering, application security, cybersecurity or a similar technical role
Hands-on experience with AI/ML technologies and understanding of their security implications
Experience implementing AI security controls in cloud environments such as AWS, Microsoft Azure or Google Cloud
Experience with AI security testing tools such as Garak, Promptfoo, PyRIT, LangSmith or similar
Knowledge of AI security frameworks and standards, including OWASP and the NIST AI Risk Management Framework
Understanding of AI-specific vulnerabilities, attack techniques and mitigation strategies
Strong knowledge of LLMs, neural networks and prompt engineering
Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face or LangChain
Strong coding and automation skills, ideally with Python and/or JavaScript
Excellent communication skills and professional proficiency in English
Nice to have:
Security certifications such as CISSP, CISM, CEH or equivalent
Experience with penetration testing or Red Team activities
Experience collaborating across technical teams on security initiatives
Benefity
What We Offer?
Annual bonus of up to 15% of gross annual salary
Flexible working hours and hybrid work model (3–4 days of home office per week)
5 weeks of vacation + 6 sick days and additional days off for long-term cooperation
Multisport card, Edenred benefits, and meal allowance
Pension and life insurance contributions
Professional development, training, and certifications
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