Lead Azure AI Security Engineer

Responsibilities

• Provide technical leadership and subject matter expertise in securing Azure and Microsoft cloud environments at enterprise scale
• Design, implement and improve security architecture across Azure, Microsoft 365, Microsoft Entra ID, hybrid and multi-cloud environments, with Azure as the primary cloud platform
• Work across key cloud security domains including Cloud Security Posture Management / CNAPP / CSPM, Identity and Access Management, Privileged Access Management, Data Protection and Data Loss Prevention, Microsoft Defender security stack, SIEM/SOAR and automated incident response, Business Continuity and Disaster…
• Plan, design and implement security controls for cloud workloads, applications, infrastructure and data
• Collaborate with engineering, infrastructure, development, DevOps, database, operations and compliance teams to embed security into the full delivery lifecycle
• Support implementation and continuous improvement of Zero Trust architecture, secure authentication, conditional access, least privilege and identity protection
• Develop and maintain automation scripts, workflows and security tooling using PowerShell, Python, Azure CLI, Logic Apps, Azure Functions, KQL, REST APIs and related technologies
• Employ AI-powered tools and agentic workflows to automate and improve daily security engineering activities such as security findings triage, log analysis, incident investigation support, configuration review, compliance evidence collection, security documentation generation, vulnerability analysis and runbook…
• Design or integrate AI agents and AI-assisted automations using modern AI platforms and frameworks where appropriate, while ensuring proper security, privacy and governance controls
• Contribute to secure adoption of AI technologies by defining guardrails for data protection, access control, prompt security, model usage, auditability and human-in-the-loop processes

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