Cloud & AI Cybersecurity Specialist (25149)

Yael Group is a leading technology group that delivers advanced technology solutions across a wide range of industries. We provide innovative products, services, and solutions to organizations in both the public and private sectors, supporting customers across every sector of the economy.

Job Description

This role focuses on securing modern cloud platforms, Microsoft environments, and advanced Artificial Intelligence (AI) technologies. The position involves leading risk assessments and collaborating closely with architecture, information systems, and business teams to enable the secure adoption of cloud and AI solutions.

Key Responsibilities

• Lead risk assessments, STRIDE threat modeling, and security reviews for cloud workloads, Microsoft 365, Power Platform, and enterprise AI solutions.

• Design and define security architectures, controls, and protection mechanisms for AI services, products, and emerging technologies, including Agentic AI and Autonomous AI use cases.

• Assess the security posture of Microsoft 365 and Power Platform environments, including Microsoft Copilot, Power Apps, Power Automate, connectors, and Data Governance, while recommending effective risk mitigation strategies.

• Evaluate security risks associated with Enterprise AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) implementations, and AI agents, and define appropriate technical and procedural security controls.

• Translate business requirements and use cases into clear, actionable security requirements and practical recommendations.

• Collaborate with cloud architects, IT teams, and business stakeholders to ensure the secure, compliant, and scalable adoption of cloud and AI technologies.

• Produce comprehensive security deliverables, including risk assessments, security requirements, residual risk assessments, and approval documentation.

• Work independently with minimal supervision while effectively collaborating with cross-functional teams and stakeholders.

Requirements

• Hands-on experience securing cloud platforms, preferably Microsoft Azure, including identity, network, data, and workload security.

• Strong practical knowledge of Microsoft 365 security and compliance, including Microsoft Entra ID, Microsoft Defender, Microsoft Purview, Conditional Access, and Information Protection.

• Solid understanding of Power Platform governance, environment strategy, Data Loss Prevention (DLP), connectors, and security within Copilot Studio.

• Proven experience working with Enterprise AI, Large Language Models (LLMs), RAG architectures, and Agentic AI or Autonomous AI technologies, including a strong understanding of their security and governance implications.

• Strong expertise in threat modeling, risk assessment frameworks, and security control design.

• Solid understanding of Identity and Access Management (IAM), authentication, authorization, and Least Privilege principles.

• Good practical knowledge of API security, web services, and information security best practices.

• Familiarity with industry security standards and frameworks such as ISO 27001, NIST, CIS, and cloud compliance best practices.

• Strong motivation and willingness to continuously learn new technologies and tools in the rapidly evolving cloud and AI landscape.