AI - Cloud Security Engineer

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• Design and operate the Azure cloud environment for the AI platform: subscriptions, networking, private endpoints and landing zones. \n

• Implement identity and access for people, applications and AI agents, including agent identities, least-privilege permissions and on-behalf-of access to source systems. \n

• Build security controls into the platform: secrets management, encryption, data loss prevention, sensitive-data handling and an agent kill-switch. \n

• Implement AI guardrails and policy enforcement in partnership with Compliance, Risk and Information Security. \n

• Monitor for threats and misconfigurations, respond to security events and support audits and client due diligence. \n

• Manage cloud cost and capacity for AI workloads. \n

• 5+ years in cloud engineering or cloud security, with strong Azure experience. \n

• Hands-on knowledge of Microsoft Entra ID, Key Vault, Azure networking, Defender for Cloud and Azure Policy.

• Experience securing applications that handle confidential financial or personal data. \n

• Working knowledge of security frameworks and regulatory expectations in financial services (for example, SOC 1/SOC 2 and data-privacy requirements). \n

• Infrastructure as code and scripting experience. \n

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Nice to have

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• Experience securing LLM or AI applications, including prompt-injection and data-leakage risks. \n

• Microsoft security or Azure certifications (for example, AZ-500, SC-100) or CISSP. \n

• Background in fund administration, asset management or banking. \n

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Our technology

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Microsoft Azure (AKS, API Management, Service Bus, Key Vault, Entra ID, Azure AI services), Snowflake, MCP servers, Python and .NET, Azure DevOps, and leading large language models.