AI Security / GenAI

Brix IT

Lisboa

Híbrido

EUR 65 000 - 90 000

Tempo integral

Há 3 dias
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Vantagens oferecidas por esta oferta de emprego

Flexible work models
Learning opportunities

Resumo da oferta

Brix IT is seeking an AI Security / GenAI Specialist to support secure design, review, and deployment of AI and GenAI solutions for a banking client. You will identify and mitigate risks in LLM-based platforms, APIs, and integrations while ensuring privacy, logging, and governance requirements are met.

Join a people-first consultancy that values collaboration across security, engineering, product, and data teams, offering flexible work arrangements and opportunities to shape secure-by-design

Qualificações

  • Strong background in Cybersecurity across Application, Product, Cloud, or Security Architecture.
  • Understanding of GenAI and LLM-based solutions from a security and risk perspective.
  • Experience performing security reviews, architecture reviews, threat modelling, and validating security controls.
  • Solid knowledge of IAM, API Security, Secrets Management, Logging and Monitoring, Data Protection and Privacy.
  • Ability to challenge technical implementations and ensure proper controls are applied.

Responsabilidades

  • Support and review AI/GenAI use cases from design through production.
  • Define security requirements for AI platforms, APIs, agents, tools, and integrations.
  • Conduct architecture reviews, security assessments, and threat modelling activities.
  • Validate deployments against security, privacy, logging, monitoring, and auditability requirements.
  • Identify and mitigate risks such as: prompt injection and jailbreak attacks, sensitive data exposure and leakage, unsafe tool usage and excessive agent autonomy, uncontrolled resource consumption, insecure integrations and poisoned inputs.
  • Define and implement guardrails for sensitive, confidential, personal, and regulated data.
  • Ensure effective logging, monitoring, audit trails, and control validation.
  • Contribute to AI security governance, standards, and secure-by-design practices.

Conhecimentos

Cybersecurity
IAM
API Security
Threat Modelling
Security Architecture
Data Protection
Logging & Monitoring
Risk Management
Cloud Security
GenAI Security

Descrição da oferta de emprego

Introduction

At Brix IT, we build technology with purpose.

We’re a specialized IT consultancy focused on tailored solutions, technical excellence, and long-term partnerships.

We believe technology is made by people, for people - and that’s why we place talent at the heart of everything we do. Here, you’ll find a transparent, collaborative environment where growth truly matters.

If you’re looking for a project built on vision, trust, and real impact, Brix might be your next step.

Opportunity Overview

Our client in the banking sector is looking for an AI Security / GenAI Specialist to support the secure design, review, and deployment of AI and Generative AI solutions. The role focuses on identifying, assessing, and mitigating security risks associated with LLM-based platforms, AI agents, APIs, and integrations, ensuring compliance with security, privacy, and governance requirements.

Key Responsibilities
  • Support and review AI/GenAI use cases from design through production.
  • Define security requirements for AI platforms, APIs, agents, tools, and integrations.
  • Conduct architecture reviews, security assessments, and threat modelling activities.
  • Validate deployments against security, privacy, logging, monitoring, and auditability requirements.
  • Identify and mitigate risks such as:
    • Prompt injection and jailbreak attacks
    • Sensitive data exposure and leakage
    • Unsafe tool usage and excessive agent autonomy
    • Uncontrolled resource consumption
    • Insecure integrations and poisoned inputs
  • Define and implement guardrails for sensitive, confidential, personal, and regulated data.
  • Ensure effective logging, monitoring, audit trails, and control validation.
  • Contribute to AI security governance, standards, and secure-by-design practices.
Required Experience
  • Strong background in Cybersecurity, ideally within:
    • Application Security
    • Product Security
    • Cloud Security
    • Security Architecture
  • Understanding of GenAI and LLM-based solutions from a security and risk management perspective.
  • Experience performing:
    • Security reviews
    • Architecture reviews
    • Threat modelling
    • Definition and validation of security controls
  • Solid knowledge of:
    • Identity and Access Management (IAM)
    • API Security
    • Secrets Management
    • Logging and Monitoring
    • Data Protection and Privacy
  • Ability to challenge technical implementations and ensure controls are properly applied.
Preferred Experience
Cloud & AI Platforms
  • AWS and/or Azure environments
  • AWS Bedrock
  • Azure OpenAI
  • Azure AI Foundry
  • Databricks (from a security and governance perspective)
Security Frameworks & Standards
  • OWASP Top 10 for LLM Applications
  • Secure AI Framework (SAIF)
  • Model Context Protocol (MCP)
  • Agent-to-Agent (A2A) security concepts
  • MCP-38 risk taxonomy
  • DevSecOps and/or MLOps environments
Core Competencies
  • Ability to translate AI security risks into clear technical requirements.
  • Strong risk assessment, prioritisation, and decision-making skills.
  • Capability to effectively challenge and validate technical implementations.
  • Strong collaboration skills across Security, Engineering, Product, and Data teams.
  • Focus on practical, enforceable, and auditable security controls.
Why Brix:

At Brix IT, we care about what really matters: people, balance, and continuous growth.

Personalized career development: Your career path is built with you - based on your short and long-term goals and shaped to match your pace.

Projects with purpose: We work with clients across multiple industries, giving you exposure to different challenges and meaningful tech experiences.

Ongoing learning: From tech certifications to soft skills training, we support your growth through tailored learning opportunities.

Flexible work models: Remote, hybrid, or onsite - we adapt to what makes sense for you and for each project.

Human-centered culture: We’re a close-knit team with real transparency and care. We value genuine relationships, collaboration, and the well-being of those who grow with us.

Well-being matters: We know that performance depends on a healthy balance between personal and professional life. That’s why we promote a respectful, supportive environment that encourages responsible time management - recognizing well-being as key to sustainable, high-quality performance.

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