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21 час назад

AI Security Architect (Cybersecurity)

5 143 - 5 429
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Security Architect (Cybersecurity): Securing AI and Generative AI initiatives to ensure solutions are designed and operated according to cybersecurity best practices with an accent on architecture, governance, and security validation. Focus on mitigating AI-specific risks such as prompt injection, data leakage, and ensuring secure integrations within cloud environments.

Location: Hybrid (Lisbon, Portugal)

Salary: 5.143€–5.429€

Company

A technology talent firm helping organizations securely embrace innovation by connecting them with top tech professionals.

What you will do

  • Secure AI and GenAI initiatives by ensuring they are designed and operated according to cybersecurity best practices.
  • Perform architecture reviews, security reviews, and threat modeling for AI/GenAI use cases from design to production.
  • Define security requirements for AI platforms, APIs, agents, and tool integrations.
  • Manage IAM, API security, secrets management, and security control validation.
  • Identify and mitigate AI-specific risks, including prompt injection, jailbreak attacks, and data leakage.
  • Establish AI guardrails and secure-by-design architectures.

Requirements

  • 5+ years of experience in Cybersecurity, Application Security, Cloud Security, or Security Architecture.
  • Strong understanding of Generative AI/LLM-based solutions from a security and risk perspective.
  • Experience with IAM, API security, and data protection standards.
  • Ability to validate security controls, auditability, and monitoring requirements.
  • English: C1 or above required.
  • Location: Must be based in Portugal for hybrid work in Lisbon.

Nice to have

  • Experience with AWS Bedrock, Azure OpenAI, or Azure AI Foundry.
  • Knowledge of OWASP Top 10 for LLM and Secure AI Framework (SAIF).
  • Experience reviewing Databricks environments from a security perspective.
  • Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures.
  • Exposure to DevSecOps and/or MLOps environments.

Culture & Benefits

  • Flexible pay and medical insurance as social benefits.
  • Unlimited access to free technological training.
  • Opportunities for professional development within an innovative and growing company.
  • Commitment to equality and equal treatment regardless of personal or social conditions.

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