Ai Security Genai (Hybrid)

AI SECURITY / GENAI (HYBRID LISBON)

Portuguese company hires for hybrid position

Location: LisbonPortugal

Only candidates already basedin Portugal will be considered

Work Model: Hybrid

Language Requirements:English: Professional proficiency required

Seniority: Senior (6years)

Instructions: Please send yourCV in English and make sure to include all skills and experience that match therequirements of the opportunity. This will significantly increase your chancesof success

Role Overview

As an AI Security Specialist you will support thesecure design implementation and governance of GenAI and LLM-basedsolutions ensuring robust protection against emerging risks such as promptinjection data leakage and model abuse.

Key Responsibilities

• Support and review AI/GenAI use cases from design through production
• Define security requirements for AI platforms APIs agents and integrations
• Conduct architecture and security reviews of AI-driven solutions
• Validate deployments against security standards and controls
• Identify and mitigate risks including:
• Prompt injection & jailbreak attacks
• Data leakage and exposure
• Model misuse or abuse
• Establish data governance guardrails especially for sensitive data
• Ensure logging monitoring and auditability of AI usage
• Contribute to AI security standards and governance frameworks
• Collaborate closely with Product Security and Engineering teams

Required Experience

• Strong background in Cybersecurity (application cloud or architecture)
• Solid understanding of Generative AI / LLM-based systems
• Experience performing security reviews and defining technical controls
• Knowledge of data protection and privacy principles

Preferred Experience

• Familiarity with cloud platforms such as AWS and/or Azure
• Experience with GenAI platforms (e.g. AWS Bedrock or similar)
• Hands-on experience with Databricks including:
• Securing ML pipelines and workflows
• Managing notebooks jobs and access controls
• Knowledge of:
• OWASP Top 10 for LLMs / Agentic AI
• SAIF (Secure AI Framework)
• Model Context Protocol (MCP) and MCP-38
• Agent-to-Agent (A2A) architectures
• Exposure to DevSecOps / MLOps practices

Core Skills

• Ability to translate security requirements into technical solutions
• Strong risk identification and prioritization skills
• Confident in challenging and validating implementations
• Effective collaboration across security engineering and data teams
• Focus on practical enforceable security controls

Why Apply

• Work at the forefront of AI and security innovation
• Influence secure AI adoption and governance
• Collaborate with cross-functional high-impact teams
• Engage with modern architectures and emerging technologies

Keywords

AI Security Generative AI GenAI LLM CybersecurityPrompt Injection Data Leakage Model Security OWASP LLM Top 10 SAIF MCPA2A Cloud Security AWS Azure Databricks DevSecOps MLOps ObservabilityGovernance Risk Management Hybrid Lisbon

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