Security Solution Architect - AI

Architect and deliver AI-powered security and fraud prevention solutions.

Apply Large Language Models (LLMs), generative AI, machine learning, and behavioural analytics to identify, prevent, and investigate fraudulent activity.

Design solutions leveraging AI to enhance threat detection, anomaly identification, user behaviour analysis, and fraud risk mitigation.

Evaluate emerging AI technologies and recommend innovative approaches to combat evolving fraud threats.

Support responsible AI adoption, ensuring security, governance, and ethical use of AI technologies.

Provide technical leadership on Microsoft security products and services, including: Microsoft 365 Security Microsoft Entra Microsoft Defender Suite Microsoft Purview Microsoft Security Copilot

Microsoft 365 Security

Microsoft Entra

Microsoft Defender Suite

Microsoft Purview

Microsoft Security Copilot

Design integrations between Microsoft security services and third-party platforms, including CrowdStrike.

Support incident response, threat modelling, security assessments, and security transformation initiatives.

Advise stakeholders on security architecture best practice and emerging industry trends.

Significant experience in a Security Architect or Solution Architect role.

Strong solution architecture capability across major cloud platforms (Azure, AWS and/or Google Cloud Platform).

Demonstrable end-to-end delivery experience of AI-enabled solutions in enterprise environments.

Experience designing secure architectures involving machine learning, generative AI, and LLM technologies.

Strong understanding of enterprise security architecture principles, frameworks, and best practices.

Experience translating business requirements into scalable and secure technology solutions.

Knowledge of identity and access management, data protection, threat detection, and security operations.

Excellent stakeholder management, communication, and influencing skills.

Experience working within complex, regulated environments.

Experience within fraud, fraud prevention, financial crime, behavioural analytics, or risk management domains.

Demonstrable experience using AI and LLMs to reduce fraud risk and improve fraud detection capabilities.

Knowledge of behavioural fraud detection techniques and user/entity behaviour analytics (UEBA).

Experience integrating AI-driven fraud prevention capabilities into enterprise security architectures.

Familiarity with Microsoft Security Copilot and AI-assisted security operations.

Experience with CrowdStrike Falcon and associated security tooling.

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