GenAI Security Architect: Threat Modeling & Cloud IAM

ITSector; Braga; Hybrid; EUR 50,000 - 75,000; Full time

Benefits offered by this job

Health Insurance

Hybrid working model

Certification & training

Job summary

ITSector is seeking security-focused professionals to review and secure GenAI-based solutions throughout design and production. You will define security requirements for AI platforms, APIs, and tools, and perform architecture reviews and threat modelling of AI solutions.

The role emphasizes governance, secure-by-design patterns, and strong collaboration with teams on secure deployments, logging, and risk mitigation in hybrid project environments.

Qualifications

• Degree in Computer Engineering, Electrical Engineering or similar.
• Solid background in cybersecurity, ideally application/product/security, cloud security or security architecture.
• Knowledge of GenAI/LLM security considerations and control definition.

Responsibilities

• 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, data leakage, and unsafe tool use.
• Define guardrails for data usage, especially for sensitive data.
• Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness.
• Contribute to AI security governance and secure-by-design patterns.

Skills

Threat modelling

Security reviews

IAM & API security

Logging & monitoring

Data protection

DevSecOps / MLOps

GenAI security

Security architecture

Education

Degree in Computer or Electrical Engineering

Tools

AWS Bedrock

Azure OpenAI / AI Foundry

OWASP Top 10 (LLM)

Job description

ITSector is seeking security-focused professionals to review and secure GenAI-based solutions throughout design and production. You will define security requirements for AI platforms, APIs, and tools, and perform architecture reviews and threat modelling of AI solutions.

The role emphasizes governance, secure-by-design patterns, and strong collaboration with teams on secure deployments, logging, and risk mitigation in hybrid project environments.