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Connectis ищет опытного специалиста по обеспечению кибербезопасности ИИ для проектов в области облачных решений, AI и агентной архитектуры. Ваша задача — обеспечить безопасность автономных ИИ-агентов в средах Azure и Microsoft 365, разрабатывать мониторинг и политики защиты, а также работать удаленно по гибкой B2B схеме.
Кандидат должен иметь практический опыт в кибербезопасности, владение инструментарием Azure и Defender, знание RBAC и принципов защиты данных.
Together with our Partner specializing in consulting and delivering cloud, data, and AI solutions, we are looking for an experienced specialist to provide services as an AI Security Engineer. The project involves comprehensive security for autonomous AI agents deployed in the Microsoft Azure and Microsoft 365 environments, at the intersection of Cloud Security and agentic systems security.
Building monitoring, telemetry, and security observability for agent activity, and integrating logs with Azure Monitor, Application Insights, Log Analytics, and Microsoft Sentinel. Assessing and mitigating AI-specific risks, such as prompt injection, excessive agent permissions, and sensitive data leakage. Designing and implementing security mechanisms for AI agents using Microsoft Agent 365, Entra ID, and RBAC. Conducting threat modeling, architecture reviews, and security testing for AI workloads. Responding to security incidents and defining security policies for AI environments. Enforcing data protection policies, data governance, and DLP in Microsoft Purview.
Practical experience in cybersecurity, cloud security, or DevSecOps, with a focus on Microsoft Azure and Microsoft 365. Experience analyzing telemetry using Azure Monitor, Application Insights, Log Analytics, and Microsoft Sentinel. Solid understanding of AI agent architecture, LLM models, and AI risk frameworks, along with knowledge of AI-specific threats. Very good knowledge of the Microsoft security stack: Microsoft Agent 365, Entra ID, Defender, Purview, Sentinel. Fluent Polish. Будет плюсом: Knowledge of KQL (Kusto Query Language); Experience with Azure AI Foundry, Azure Machine Learning, or MCP Servers platforms; Knowledge of Microsoft Fabric, Databricks, or Snowflake
Cooperation on a project basis, with settlements based on milestones and acceptance protocols for individual deliverables. Support from Connectis with administrative and billing matters related to the cooperation. Participation in industry events and technology meetups. PLN 5,000 for referring friends to our projects. Flexible B2B cooperation. Services delivered 100% remotely.