AI Security Engineer

Planet

. Protect Planet's enterprise AI platforms and autonomous agents from misuse, data leakage, excessive permissions, prompt-based attacks, insecure connectors, and emerging threats .

Posted 11/4/2026full-timeWarsaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI security, focusing on risk assessment, incident response, and the implementation of security controls. Proficient in developing monitoring and detection strategies while effectively communicating technical risks to stakeholders.

Highest-signal resume keywords

Security EngineeringAI Risk AssessmentMicrosoft Security TechnologiesAutomation DevelopmentIncident Response

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Security OperationsDetection EngineeringApplication SecurityThreat ModellingMonitoring Logic DevelopmentPowerShellPythonKQLData Leakage PreventionIdentity Management

Soft Skills

Investigation SkillsDocumentation SkillsStakeholder CommunicationEngineering Mindset

Tools & Technologies

Microsoft CopilotGitHub CopilotClaudeAgent 365SIEMEDR/XDRCloud PlatformsAutomation Tools

Industry Keywords

AI PlatformsAutonomous AgentsData HandlingRisk ClassificationSecurity ReviewsPrompt InjectionSupply-Chain RiskExposed Credentials

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Protect Planet's enterprise AI platforms and autonomous agents from misuse, data leakage, excessive permissions, prompt-based attacks, insecure connectors, and emerging threats
Partner with the Global SOC to triage, investigate, contain, and learn from AI-related security incidents
Develop AI-focused monitoring, detection logic, threat-hunting approaches, response playbooks, and measurable control improvements
Identify and reduce exposure from unmanaged AI use, public agents, exposed credentials, risky integrations, insecure plugins, and over-permissioned identities
Assess AI applications, copilots, agents, models, retrieval systems, prompts, data sources, and third-party services through security reviews and threat modelling
Implement guardrails for identity, access, secrets, data handling, connector security, logging, monitoring, permissions, and human oversight
Maintain clear ownership, risk classification, findings, and remediation tracking, communicating progress to technical teams and senior stakeholders

Requirements

What you’ll need

Experience in security engineering, cloud security, security operations, detection engineering, application security, or a closely related discipline
Practical knowledge of AI and agent risks, including prompt injection, data leakage, excessive agency, insecure tool use, identity abuse, secrets exposure, and supply-chain risk
Experience with Microsoft security technologies, cloud platforms, SIEM, EDR/XDR, identity, logging, and automation
Familiarity with enterprise AI services and developer tooling such as Claude, GitHub Copilot, Microsoft Copilot, and Agent 365
Ability to translate technical risk into implementable controls and work constructively with platform, engineering, and agent owners
Comfort developing or reviewing automation using PowerShell, Python, KQL, or similar languages
Strong investigation, documentation, and stakeholder communication skills, with an engineering mindset focused on scalable risk reduction

Benefits

Comp & perks

Hybrid work model with three days a week in the office
Equal opportunity employer
Reasonable accommodations may be made to allow an individual to perform the essential functions of the role successfully