We are looking for a AI Security / GenAI with the following requirements:

Key Responsibilities

• Support and review AI/GenAI use cases from design to production
• Define security requirements for AI platforms, APIs, agents, and integrations
• Perform architecture and security reviews of AI solutions
• Validate integrations and deployments of AI solutions against security requirements
• Identify and mitigate risks such as:

o Prompt injection / jailbreaks
o Data leakage / exposure
o Model misuse or abuse

• Define guardrails for data usage, especially for sensitive or regulated data
• Ensure logging, monitoring, and auditability of AI usage
• Contribute to AI governance and security standards
• Work closely with Product Security and engineering teams to enforce controls

Required Experience

• Background in security (application, cloud, or architecture)
• Understanding of GenAI / LLM-based solutions
• Experience with security reviews and defining technical controls
• Knowledge of data protection and privacy principles

Preferred Experience

• Familiarity with AWS and/or Azure environments
• Experience with AWS Bedrock or similar GenAI platforms
• Experience with Databricks, including securing:

o ML workflows and pipelines;
o Notebooks and jobs;
o Access control and data permissions;

• Familiarity with:

o OWASP Top 10 for LLMs / Agentic AI;
o MSAIF (Secure AI Framework);
o Model Context Protocol (MCP), including MCP-38;
o Agent-to-Agent (A2A) architectures;

• Exposure to DevSecOps / MLOps;

Core Skills

• Can translate security into clear technical requirements;
• Strong risk identification and prioritization;
• Able to challenge and validate implementations effectively;
• Works well with security, engineering, and data teams;
• Focused on practical, enforceable controls;
• Duration: Long Term Contract.
• Location: Lisbon, hybrid.

Localização do trabalho: Trabalho remoto híbrido em Lisboa