GenAI Security Architect - Threat Modeling & Cloud AI

ITSector; Lisboa; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Hybrid work model

Training opportunities

Team Building

Job summary

ITSector in Lisbon seeks an experienced security professional to shape secure GenAI workflows and AI platform governance. You will define security requirements, review architectures, and validate deployments for privacy, logging, and risk controls.

Role emphasizes collaboration across DevSecOps, MLOps, and security architecture, with hybrid work, competitive rewards, and growth training opportunities.

Qualifications

• 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, MCP, A2A architectures and agentic trust boundaries.
• Exposure to DevSecOps and/or MLOps as a collaboration context.
• Written and verbal communication skills (Portuguese and English).

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/jailbreaks, data leakage, unsafe tool use, or unbounded consumption.
• Define guardrails for data usage, especially for sensitive 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.

Skills

Security reviews

Architecture reviews

Threat modelling

IAM

API security

Secrets management

Logging monitoring

Data protection

GenAI security

DevSecOps

MLOps

Portuguese

English

Education

Degree in Computer/Electrical Engineering

Tools

AWS Bedrock

Azure OpenAI

Azure AI Foundry

Job description

ITSector in Lisbon seeks an experienced security professional to shape secure GenAI workflows and AI platform governance. You will define security requirements, review architectures, and validate deployments for privacy, logging, and risk controls.

Role emphasizes collaboration across DevSecOps, MLOps, and security architecture, with hybrid work, competitive rewards, and growth training opportunities.