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At Brix IT, we build technology with purpose. We’re a specialized IT consultancy focused on tailored solutions, technical excellence, and long-term partnerships.
We believe technology is made by people, for people — and that’s why we place talent at the heart of everything we do. Here, you’ll find a transparent, collaborative environment where growth truly matters.
If you’re looking for a project built on vision, trust, and real impact, Brix might be your next step.
Opportunity Overview
Our client in the banking sector is looking for an AI Security / GenAI Specialist to support the secure design, review, and deployment of AI and Generative AI solutions. The role focuses on identifying, assessing, and mitigating security risks associated with LLM-based platforms, AI agents, APIs, and integrations, ensuring compliance with security, privacy, and governance requirements.
Key Responsibilities
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Support and review AI/GenAI use cases from design through production.
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Define security requirements for AI platforms, APIs, agents, tools, and integrations.
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Conduct architecture reviews, security assessments, and threat modelling activities.
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Validate deployments against security, privacy, logging, monitoring, and auditability requirements.
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Identify and mitigate risks such as:
- Prompt injection and jailbreak attacks
- Sensitive data exposure and leakage
- Unsafe tool usage and excessive agent autonomy
- Uncontrolled resource consumption
- Insecure integrations and poisoned inputs
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Define and implement guardrails for sensitive, confidential, personal, and regulated data.
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Ensure effective logging, monitoring, audit trails, and control validation.
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Contribute to AI security governance, standards, and secure-by-design practices.
Required Experience
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Strong background in Cybersecurity, ideally within:
- Application Security
- Product Security
- Cloud Security
- Security Architecture
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Understanding of GenAI and LLM-based solutions from a security and risk management perspective.
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Experience performing:
- Security reviews
- Architecture reviews
- Threat modelling
- Definition and validation of security controls
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Solid knowledge of:
- Identity and Access Management (IAM)
- API Security
- Secrets Management
- Logging and Monitoring
- Data Protection and Privacy
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Ability to challenge technical implementations and ensure controls are properly applied.
Preferred Experience
Cloud & AI Platforms
- AWS and/or Azure environments
- AWS Bedrock
- Azure OpenAI
- Azure AI Foundry
- Databricks (from a security and governance perspective)
Security Frameworks & Standards
- OWASP Top 10 for LLM Applications
- Secure AI Framework (SAIF)
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A) security concepts
- MCP-38 risk taxonomy
- DevSecOps and/or MLOps environments
Core Competencies
- Ability to translate AI security risks into clear technical requirements.
- Strong risk assessment, prioritisation, and decision-making skills.
- Capability to effectively challenge and validate technical implementations.
- Strong collaboration skills across Security, Engineering, Product, and Data teams.
- Focus on practical, enforceable, and auditable security controls.
Why Brix:
At Brix IT, we care about what really matters: people, balance, and continuous growth.
Personalized career development: Your career path is built with you — based on your short and long-term goals and shaped to match your pace.
Projects with purpose: We work with clients across multiple industries, giving you exposure to different challenges and meaningful tech experiences.
Ongoing learning: From tech certifications to soft skills training, we support your growth through tailored learning opportunities.
Flexible work models: Remote, hybrid, or onsite — we adapt to what makes sense for you and for each project.
Human-centered culture: We’re a close-knit team with real transparency and care. We value genuine relationships, collaboration, and the well-being of those who grow with us.
Well-being matters: We know that performance depends on a healthy balance between personal and professional life. That’s why we promote a respectful, supportive environment that encourages responsible time management — recognizing well-being as key to sustainable, high-quality performance.