AI Security GenAI

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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.

• Support and review AI/GenAI use cases from design through production.

• Define security requirements for AI platforms APIs agents tools and integrations.

• Conduct architecture reviews security assessments and threat modelling activities.

• Validate deployments against security privacy logging monitoring and auditability requirements.

• 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

• Define and implement guardrails for sensitive confidential personal and regulated data.

• Ensure effective logging monitoring audit trails and control validation.

• Contribute to AI security governance standards and secure-by-design practices.

• Strong background in Cybersecurity ideally within:

  • Application Security
  • Product Security
  • Cloud Security
  • Security Architecture

• Understanding of GenAI and LLM-based solutions from a security and risk management perspective.

• Experience performing:

  • Security reviews
  • Architecture reviews
  • Threat modelling
  • Definition and validation of security controls

• Solid knowledge of:

  • Identity and Access Management (IAM)
  • API Security
  • Secrets Management
  • Logging and Monitoring
  • Data Protection and Privacy

• Ability to challenge technical implementations and ensure controls are properly applied.

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

• 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: Were 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. Thats why we promote a respectful supportive environment that encourages responsible time management recognizing well-being as key to sustainable high-quality performance.