Security Engineer – AI
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Job Description
Security Engineer AI implementing and operating security controls for cloud platforms and AI tools. Focused on Cloud Applications security and custom AI integrations.
Responsibilities:
- Implement and maintain security controls for enterprise AI tools, including Microsoft Copilot and other AI-enabled SaaS platforms.
- Support the secure onboarding, configuration, and monitoring of AI features and other enterprise SaaS platforms.
- Enforce data access boundaries and usage restrictions for AI tools based on data classification and identity.
- Assist in reviewing custom AI use cases and integrations for security risks, including data exposure through prompts or outputs, improper access to sensitive information, and misuse of AI-driven automation.
- Design, review, and enforce security controls for enterprise AI platforms, including productivity copilots, internal large language models (LLMs), and third-party AI services.
- Partner with security engineering and cloud teams to secure AI infrastructure.
- Participate in architecture and security design reviews for AI-enabled systems prior to production deployment, ensuring appropriate guardrails for data exposure.
- Support secure configuration for AI agent usage and implement monitoring and audit logging for AI interactions and tool usage.
- Design and implement security controls for AI systems leveraging the Model Context Protocol (MCP).
- Enforce least-privilege access for AI agents interacting with tools, APIs, and data sources.
- Secure AI data flows, including retrieval-augmented generation (RAG) pipelines.
- Expand logging and monitoring for AI platforms, cloud environments, and SaaS activity.
- Participate in incident response efforts by investigating security alerts and supporting response to incidents involving cloud, SaaS, and AI tools.
- Assist in developing and maintaining runbooks and response procedures for platform-related incidents.
- Partner with engineering teams to embed security into AI platform architectures.
- Support and assist with security reviews of cloud-hosted applications and services and overall application security.
- Support identity and access management controls across Cloud platforms, SaaS applications, AI tools and integrations.
- Implement and maintain, Role based access controls (RBAC), Least privilege access models, Conditional access and MFA policies.
- Assist with access reviews and security remediation efforts.
- Contribute to the development and maintenance of security standards and technical guidelines.
- Providing security input to IT, Cloud, and Application teams during solution design and implementation.
- Document configurations, processes, and operational procedures related to security controls.
- Provide practical, security focused guidance to engineering, IT, and business teams on safe AI usage.
Requirements:
- 4-6 years of experience in security engineering, cloud security, or infrastructure security.
- 3-4 years hands‑on experience with cloud platforms such as AWS, Azure and Office 365.
- Experience integrating security monitoring with observability data to detect misuse, data exfiltration, prompt injection, and adversarial AI behaviors.
- Working knowledge of identity and access management concepts and controls.
- Familiarity with AI enabled tools, platforms and their associated security considerations.
- Experience with Microsoft security tooling (e.g., Entra ID, Purview).
- Experience with Microsoft Copilot or other enterprise AI tools.
Benefits:
- Great benefits!
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