Security Engineer – AI

Best Friends Animal Society

Security Engineer AI implementing and operating security controls for cloud platforms and AI tools. Focused on Cloud Applications security and custom AI integrations.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $105,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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Hard Skills & Tools

security engineeringcloud securityinfrastructure securityidentity and access managementdata access controlssecurity monitoringRole based access controls (RBAC)Least privilege access modelsConditional accessMFA policies

Soft Skills

collaborationcommunicationproblem-solvingattention to detailanalytical thinking