About the job AI Security Engineer (Agentic AI / Cloud Security) - Hybrid Lisbon (1-2 days/week office)
AI Security Engineer (Agentic AI / Cloud Security) - Hybrid Lisbon (1-2 days/week office)
ABOUT THE OPPORTUNITY
We are looking for a Senior AI Security Engineer to join a leading international organization undergoing a large-scale AI transformation across multiple European markets. This is a unique opportunity to play a key role in securing the adoption of Agentic AI, AI-driven platforms, and advanced automation initiatives within a complex, multinational environment.
You will become part of a central AI function responsible for enabling innovation while ensuring that security, compliance, and governance remain embedded throughout the AI lifecycle. This role offers a combination of hands-on technical work and strategic influence, working closely with engineering teams, security leaders, data protection specialists, and senior stakeholders across Europe.
PROJECT & CONTEXT
The organization is building a centralized AI ecosystem consisting of specialized AI delivery hubs and an Agentic AI platform that will enable multiple business units and countries to develop, deploy, and operate AI-powered solutions securely and at scale.
As the AI Security Engineer, you will be responsible for embedding security-by-design principles across AI use cases, intelligent agents, APIs, integrations, and platform components. You will 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.
This is a highly collaborative role involving close interaction with AI Engineering, Security Architecture, Data Protection, Risk, and Operational Security teams.
WHAT WE'RE LOOKING FOR (Required)
- 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).
NICE TO HAVE (Preferred)
- Experience working in multinational or multi-country organizations.
- Previous exposure to logistics, transportation, retail, or financial services environments.
- Hands-on experience with AI and LLM platforms such as:
- Azure AI
- OpenAI
- Anthropic
- Google Vertex AI
- LangChain
- Exposure to MLOps platforms and AI operational frameworks.
- Experience conducting or participating in AI security assessments or red-teaming exercises.
- Professional certifications such as CISSP, CISM, or equivalent.
- Knowledge of additional European languages.
- Experience working with enterprise governance, compliance, and data protection initiatives.