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AI Security Engineer – Agentic AI, Cloud Security
HumanIT Digital ConsultingSenior AI Security Engineer securing the adoption of Agentic AI within international markets. Collaborating across teams to embed security in AI lifecycle in a complex, multinational environment.
ATS Keywords
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Hard Skills
IT SecurityCybersecurityInformation SecurityCloud SecurityIdentity and Access ManagementApplication SecuritySecure Software Development LifecycleThreat ModelingSecurity ArchitectureRisk Assessment
Soft Skills
stakeholder managementcommunicationinfluencecollaboration
Tools & Technologies
Agentic AIAPIsmonitoringloggingsecrets managementthird-party integrations
Industry Keywords
digital transformationplatform engineeringsecure cloud architecturesAI/ML security conceptsNIST AI Risk Management FrameworkOWASP LLM Top 10MITRE ATLAS
Tech Stack
Tools & technologiesCloudCyber SecurityDistributed SystemsSDLC
About the role
Key responsibilities & impact- Join a leading international organization undergoing a large-scale AI transformation across multiple European markets.
- Play a key role in securing the adoption of Agentic AI, AI-driven platforms, and advanced automation initiatives within a complex, multinational environment.
- Work closely with engineering teams, security leaders, data protection specialists, and senior stakeholders across Europe.
- Embed security-by-design principles across AI use cases, intelligent agents, APIs, integrations, and platform components.
- Work on security controls related to access management, secrets management, monitoring, logging, sandboxing, third-party integrations, and AI-specific risks such as prompt injection, data leakage, excessive permissions, and model supply chain vulnerabilities.
Requirements
What you’ll need- 7+ years of experience in IT Security, Cybersecurity, or Information Security.
- Experience supporting digital transformation, platform engineering, or enterprise technology programs.
- Strong knowledge of Cloud Security principles and secure cloud architectures.
- Solid experience with Identity and Access Management (IAM).
- Hands-on experience with Application Security and Secure Software Development Lifecycle (Secure SDLC).
- Experience with Threat Modeling, Security Architecture, and Risk Assessment for distributed systems.
- Knowledge of AI/ML and Agentic AI security concepts, including: Prompt Injection Data Leakage Prevention Agent Identity and Authorization Tool and API Security AI Model Supply Chain Security.
- Familiarity with: OWASP LLM Top 10 MITRE ATLAS NIST AI Risk Management Framework (NIST AI RMF).
- Experience implementing security controls for APIs, integrations, monitoring, logging, secrets management, and external services.
- Strong stakeholder management and communication skills.
- Ability to influence technical decisions across multiple teams and countries.
- Fluent English (minimum B2 level).
Benefits
Comp & perks- Professional development opportunities
- Flexible work arrangements