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 CSPM/CNAPP, Identity and Access Management, Privileged Access Management, Data Protection and Data Loss Prevention, Microsoft Defender security stack, SIEM/SOAR, Business Continuity and Disaster Recovery, DevSecOps, container and Kubernetes security and policy-as-code
• Plan, design and implement security controls for cloud workloads, applications, infrastructure and data
• Collaboration 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 and REST APIs
• Use AI-powered tools and agentic workflows to automate and improve security activities such as findings triage, log analysis, incident investigation support, configuration review, compliance evidence collection and vulnerability analysis
• Design or integrate AI agents and AI-assisted automations using modern AI platforms and frameworks 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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