AI Security Architect

Who we are

With over 25 years of experience, Sysmatch is a well-established name in IT Consultancy and Outsourcing, involved in both national and international projects that promote excellence in technology and services. Our secret? A team that blends talent, creativity, and experience to deliver robust, scalable, and tailored solutions.

We’re not just tech experts — we’re partners who support our clients’ transformation, anticipate trends, and drive their evolution. Flexibility, innovation, and a forward-thinking mindset are part of our DNA.

We’re hiring:

AI Security Architect – Remote (Candidates must be based in Portugal)

What we are looking for

Key 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

Required Experience:

• 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
• Preferred Experience
• 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, especially around:

-Guardrails and content controls

-IAM and least privilege

-Logging, observability, and auditability

-Data protection and sensitive data handling

-Familiarity with Databricks as a platform to review from a security perspective, including:

-Access control and data permissions

-Workspaces, jobs, pipelines, and notebooks

-Secrets, networking, and data governance

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
• Emerging risk taxonomies such as MCP-38
• Exposure to DevSecOps and/or MLOps as a collaboration context

Core Skills:

• Can translate AI security risks into clear technical requirements
• Strong risk identification, prioritisation, and decision-making
• Able to challenge and validate implementations effectively
• Works well with security, product, engineering, and data teams
• Focused on practical, enforceable, and auditable controls

What we offer

• A personalized onboarding experience that welcomes and supports you throughout your journey.
• Regular and constructive feedback to boost your growth and development.
• A dynamic project with a prestigious international client.
• A competitive salary package, aligned with your experience and skills.
• Career development opportunities through ambitious and innovative tech projects.
• A collaborative culture that values creativity and individual progress.
• Access to exclusive discounts in a wide network of partners, including health, wellness, travel, culture, gastronomy, leisure and much more.
• Team-building events and initiatives that create memorable shared experiences.