Staff Cyber Security Engineer – AI Data Protection

GE HealthCare

Staff Cyber Security Engineer managing AI data protection platforms at GE HealthCare. Collaborating on Cyber Data Protection team to secure enterprise AI adoption and reduce data risks.

Posted 6/29/2026full-timeRemote • 🇵🇱 PolandLead💰 PLN 284,800 - PLN 391,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityPython

About the role

Key responsibilities & impact

Own and operate the AI DLP platform, including administration, configuration, policy management, tuning, upgrades, deployments, and platform health.
Engineer and deploy DLP and AI protection capabilities across endpoint, cloud, mobile, and network environments.
Maintain detection policies, risk scoring, thresholds, baselines, operational metrics, and the service roadmap.
Evaluate emerging DLP and AI security technologies through proof-of-concepts and platform assessments.
Manage vendor performance, SLAs, incident resolution, and end-user issue triage through to closure.
Assess and manage AI-related data protection risks across Cyber, IT, and business teams.
Evaluate emerging AI platforms for DLP, privacy, and compliance risks, and recommend appropriate controls.
Define and implement AI guardrails to prevent data leakage, policy violations, and unsafe usage.
Partner with AI enablement and governance teams to align solutions with data protection requirements.
Monitor AI threats, including LLM, generative AI, and shadow AI risks.
Automate DLP workflows, triage, and integrations using Python, PowerShell, KQL, and Bash.
Build Azure automation, SIEM queries, dashboards, and alerts using Logic Apps, Azure Functions, Automation Accounts, KQL, and Microsoft Sentinel.
Support Windows and Mac endpoints for DLP deployment, enforcement, and troubleshooting.
Apply cloud security controls across Azure, AWS, M365, IaaS, PaaS, and SaaS environments.
Stay current on AI developments, tools, agentic frameworks, and monitoring platforms relevant to data protection.
Guide internal teams on the secure use of AI within IT and Cyber operations.
Champion responsible AI adoption by identifying security gaps and recommending risk-based controls.
Partner with DLP, Cyber, AI, and IT stakeholders to align platform capabilities with business priorities.
Communicate platform status, risks, roadmap, and priorities clearly to leadership and stakeholders.

Requirements

What you’ll need

Bachelor’s degree in computer science or STEM Majors (Science, Technology, Engineering and Mathematics) with advanced technical experience.
Experience owning enterprise DLP or data protection platforms, including Microsoft Purview, Defender, Sentinel, or similar tools.
Hands-on knowledge of AI security tools, agentic AI frameworks, and AI monitoring platforms.
Proficiency in Python, PowerShell, Bash, KQL, SIEM analytics, and Azure automation.
Strong understanding of cloud security, AI/ML risk, privacy, compliance, identity, networking, endpoints, and infrastructure security.
Knowledge of CI/CD, DevSecOps, agile delivery, and relevant cyber security certifications is beneficial.
Able to collaborate across Cyber, IT, business, and vendor teams in a global environment.
Strong communicator who can influence stakeholders and present clearly to technical and leadership audiences.
Experience managing vendors, SLAs, priorities, and mentoring junior team members.
Self-starter who takes ownership, learns quickly, and stays current on AI and data protection trends.
Able to manage competing priorities, drive multiple workstreams, and proactively address risk.

Benefits

Comp & perks

Health & wellness coverage
Retirement and or savings plans
Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable)
Work-life balance support (e.g., flexible working, leave programs)
Recognition and incentive programs aligned with performance and company success

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPowerShellBashKQLSIEM AnalyticsAzure AutomationDLP Policy ManagementRisk ScoringIncident ResolutionData Protection

Soft Skills

Strong CommunicationCollaborationInfluencing StakeholdersOwnershipMentoring