At a glance
- Workplace
- Hybrid
- Location
- Poland - Warsaw · Poland
About the role
- The AI Security Consultant will identify, assess, and manage security risks associated with AI technologies and AI-enabled solutions within financial services. This role involves working across data, security, and business teams to embed security controls throughout the AI lifecycle. The position requires relocation to Qatar for the duration of a one-year project.
Responsibilities
- Assess security risks associated with AI systems, models, data pipelines, and supporting technology environments.
- Conduct AI security assessments and secure AI architecture reviews.
- Define and implement security controls, standards, and guardrails across the AI lifecycle.
- Identify and assess AI-specific threats and vulnerabilities, including data exposure, model access, and prompt manipulation.
- Deliver cybersecurity advisory services supporting enterprise AI adoption.
- Support clients in securing AI-enabled products, platforms, and data ecosystems.
- Collaborate with cross-functional teams to embed security-by-design into AI solutions.
- Support AI security governance, risk assessments, control testing, monitoring, incident response, and remediation.
Requirements
- Strong experience in cybersecurity, information security, AI security, data security, or related technology risk disciplines.
- Practical understanding of AI and machine learning environments and associated security risks.
- Experience applying security controls, threat modelling, risk assessment, identity and access management, data protection, and secure architecture principles.
- Strong understanding of security governance, responsible AI, regulatory requirements, and security-by-design principles.
- Clear communication and stakeholder management skills.
Preferred qualifications
- Experience delivering AI, data, or cybersecurity initiatives within banking, financial services, or regulated environments.
- Knowledge of AI security threats, responsible AI frameworks, model security, Generative AI, or emerging AI security practices.
- Experience with cloud-based AI and machine learning platforms and their associated security controls.
- Relevant cybersecurity, cloud, data, AI, or information security certifications.
- Exposure to large-scale AI, data, cybersecurity, regulatory, or technology transformation programmes.
Skills
- Cybersecurity
- AI Security
- Data Security
- Machine Learning
- Threat Modelling
- Risk Assessment
- Identity And Access Management
- Data Protection
- Secure Architecture
- Generative AI
