AI Security Architect
Primary stack
Nice to have's
Job description
About the Position
AI Security Architect
Location: Braga, Portugal
Company: ITSector
Let's take a look at the profile we are looking for:
- 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.
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, 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;
We Offer
- Hybrid working model;
- National and international projects;
- Health Insurance Benefit for all employees;
- A fair system of competitive rewards upon knowledge and experience;
- Certification, technical, and behavioral training to become the best version of yourself;
- Team Building and Happy Hours;
- Committed and successful teams;
- Opportunity to work in a challenging environment with dynamic teams and innovative projects;
- Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
- Benefit scheme along with partners.
About the Company
In line with our diversity, equity, and inclusion policy, at ITSector we value the creation of a work environment where every employee is treated with dignity and where every opinion matters. We believe that diversity makes us stronger and contributes to the innovation and success of our teams.
In ITSector, there is no room for any potential bias, from the Talent Acquisition process till the Career & Development of our employees, diversity and inclusion, regardless of age, gender, ethnicity, race, nationality, or any form of discrimination incompatible with dignity of human rights are our key drivers.
What are you waiting for?
Apply now and join ITSector's family!
Terms & Conditions
© ITSector. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
FinTech