AI Security Architect

Genesis; Lisboa; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible hours

Hybrid work options

Professional development

Job summary

Genesis Digital Solutions in Lisboa is seeking an AI Security Architect to join the Product Security team. The role focuses on securing AI and GenAI deployments, translating AI security risks into actionable technical requirements and enforceable controls.

You will review IAM, API security, and data protection practices while collaborating with product, engineering, cybersecurity, and data teams to implement robust security measures. Hybrid work is available with two days on-site in Lisbon.

Qualifications

• Strong background in cybersecurity, with a focus on security architecture.
• Experience conducting security reviews, threat modelling, and assessments.
• Ability to define and validate technical security controls.
• Knowledge of IAM, API security, logging, monitoring, and data protection.

Responsibilities

• Review AI/GenAI use cases across the solution lifecycle.
• Define security requirements for AI platforms, APIs, agents, and tool usage.
• Conduct security architecture reviews and risk assessments.
• Identify risks like prompt injection, data leakage, and insecure integrations.
• Assess deployments for privacy, logging, and auditability requirements.
• Define guardrails for handling sensitive data and ensure least-privilege access.
• Collaborate with security, product, engineering, and data teams to implement controls.

Skills

Cybersecurity expertise

Threat modelling

Security architecture

Security controls evaluation

collaborating with cross-functional

Tools

IAM

API security

Secrets management

Logging & monitoring

Job description

Genesis Digital Solutions | Tempo integral

AI Security Architect

Lisboa 2x por semana, Portugal | Posted on 10/16/2026

GenesisDigital Solutions is a consulting and technology company that helpsorganizations turn ideas into measurable business impact through digitalexpertise and AI innovation. Founded in 2018, we operate across Portugal andthe United Arab Emirates, supporting clients in multiple industries withintelligent, scalable, and secure solutions. We combine strategy, engineering,and emerging technologies such as AI, Data, Web3, and Digital ProductDevelopment to drive transformation end to end. Our focus is on buildingpractical, human-centered solutions and long-term partnerships that enablesustainable growth, innovation, and real-world results.

We are looking for an AI Security Architect to support the ProductSecurity team, with a particular focus on Data and AI. You will help ensurethat AI and Generative AI solutions are designed, integrated, and deployedsecurely, translating emerging AI security risks into practical technicalrequirements and enforceable controls.

Combining a strong cybersecurity background with an understanding ofGenAI, LLM-based solutions, and Agentic.

WhatYou’ll Work On

• Review AI and GenAI use casesthroughout the solution lifecycle, from initial design to production.
• Define security requirements for AIplatforms, APIs, agents, tool usage, and system integrations.
• Conduct security architecturereviews, threat modelling, and technical security assessments of AI solutions.
• Identify and mitigate risks such asprompt injection, jailbreaks, sensitive information disclosure, data leakage,unsafe tool use, excessive agent autonomy, and insecure integrations.
• Assess AI deployments againstsecurity, privacy, logging, monitoring, and auditability requirements.
• Define security guardrails for theuse of sensitive, personal, confidential, and regulated data.
• Review IAM, API security, secretsmanagement, access controls, and least-privilege implementations.
• Validate logging, monitoring, audittrails, and evidence of control effectiveness.
• Contribute to AI securitygovernance, technical standards, and secure-by-design patterns.
• Review AI integrations and agentarchitectures, including agent-to-tool interactions and trust boundaries.
• Collaborate with Product Security,cybersecurity, engineering, product, and data teams to ensure security controlsare effectively implemented.
• Challenge technical designs andrecommend practical measures to reduce AI-related security risks.

WhatWe’re Looking For

• Strong background in cybersecurity,particularly Application Security, Product Security, Cloud Security, orSecurity Architecture.
• Understanding of Generative AI,LLM-based solutions, and their security and risk implications.
• Experience conducting securityreviews, architecture assessments, and threat modelling.
• Experience defining and validatingtechnical security controls.
• Knowledge of IAM, API security,secrets management, logging, monitoring, and auditability.
• Strong understanding of dataprotection, privacy, data minimisation, and the secure handling of sensitive orregulated information.
• Ability to translate AI securityrisks into clear, actionable technical requirements.
• Strong risk identification,prioritisation, and decision-making skills.
• Ability to challenge technicalimplementations and verify that security controls are effective.
• Strong collaboration skills and theability to work with security, product, engineering, and data teams.
• A pragmaticapproach focused on enforceable, measurable, and auditable security controls.

BonusPoints

• Experience reviewing AI workloads inAWS and/or Azure environments.
• Familiarity with AWS Bedrock, AzureOpenAI, Azure AI Foundry, or similar GenAI platforms.
• Knowledge of AI platform securitycontrols, including guardrails, content filtering, IAM, least privilege,logging, observability, and data protection.
• Familiarity with Databrickssecurity, including access controls, workspace permissions, jobs, pipelines,notebooks, secrets, networking, and data governance.
• Knowledge of the OWASP Top 10 forLLM Applications and security risks associated with Agentic AI.
• Familiarity with the Secure AIFramework (SAIF).
• Understanding of Model ContextProtocol (MCP), agent-to-tool security, and Agent-to-Agent (A2A) architectures.
• Awareness of emerging AI securityrisk taxonomies, including MCP-38.
• Exposure to DevSecOps and/or MLOpsenvironments.
• Experience establishing AI securitystandards or governance frameworks.

WhyYou’ll Stay

• A workplace that values innovationand personal growth.
• Opportunities to work on high-impactprojects for leading clients.
• Flexible hours and hybrid workoptions.
• Support for professionaldevelopment, including training and certifications.