AI Security Architect

Descrição

da função/job description

Support and review AI/GenAI use cases from design through production;

Define security requirements for AI platforms, APIs, agents, tool use, and integrations;

Perform architecture reviews, threat modelling, and security reviews of AI solutions;

Validate integrations and deployments against security, privacy, logging, and auditability requirements;

Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;

Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;

Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;

Contribute to AI security governance, standards, and secure-by-design patterns;

Requisitos

/requirements

Ambitious people with a passion for this area;

Degree in Computer Engineering, Electrical Engineering or similar;

Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;

Understanding of GenAI/LLM-based solutions from a security and risk perspective;

Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;

Experience with IAM, API security, secrets management, logging, monitoring, and control validation;

Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;

Ability to challenge technical implementations and validate that controls are effectively applied;

Familiarity with AWS and/or Azure environments in the context of AI workload security;

Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;

Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;

Exposure to DevSecOps and/or MLOps as a collaboration context;

Written and verbal communication skills (Portuguese and English);

Ability to work effectively and manage deadlines;

Sense of responsibility, commitment and integrity;

Focus on innovation, dynamism, autonomy and teamwork.

Oferta

/offer

Join our digital team and be part of the technological transformation shaping the future.

Apply now and start making a difference today!

Randstad is on a mission to become the world's most equitable and specialized talent company.

Therefore, we emphasize that we welcome individuals with the most diverse abilities and backgrounds.

We are committed to ensuring that our recruitment and hiring process meets the needs of everyone.

If you require any accommodations to make your application or interview more comfortable, please do not hesitate to inform our recruitment consultants.

para se candidatar/to apply

https://www.randstad.pt/empregos/title_location_DTS-2026-179706