AI Security Engineer

Clouds on Mars is an IT consulting company specializing in architecting and delivering solutions in cloud and data engineering, AI-driven analytics, web apps, and automation. They manage full project cycles with a team of 150+ experts organized into four Business Units, combining specialists like Data Engineers, BI Consultants, AI Engineers, Solution Architects, Power Platform Consultants, and Project Managers.

• Hands-on experience in cybersecurity, cloud security, DevSecOps, or application security focused on Microsoft Azure and M365.
• Strong knowledge of the Microsoft Security Stack, especially Microsoft Agent 365, Entra ID, Defender, Purview, and Sentinel.
• Solid understanding of AI agent architectures, Large Language Models (LLMs), and AI risk frameworks.
• Experience with telemetry analysis and monitoring solutions; KQL skills are a strong advantage.
• Ability to automate tasks using Python, PowerShell, or Infrastructure as Code.

Nice to have:

• Experience with AI and Machine Learning (ML).

• Design and implement security controls for AI agents and solutions using Microsoft Agent 365, Entra ID, and RBAC.
• Assess and mitigate AI-specific risks including prompt injection, excessive permissions, unauthorized tool usage, and sensitive data leakage.
• Enforce data protection, data governance, and DLP policies using Microsoft Purview.
• Build monitoring, telemetry, and security observability for agent activities integrating logs with Azure Monitor, Application Insights, Log Analytics, and Microsoft Sentinel.
• Perform threat modeling, architecture reviews, security testing, incident response, and security policy definition for AI workloads.