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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, establish, and operationalize platform-level security, ethics, and compliance frameworks across the AI platform lifecycle
- Define and maintain governance controls for model onboarding and approval, agent registration, policy enforcement, unified model access, and lifecycle gates across Dev/UAT/Prod
- Ensure platform compliance with GDPR, the EU AI Act, and other legal and regulatory obligations
- Translate regulatory requirements into enforceable technical controls and operational procedures
- Establish and maintain approved-model governance covering provenance, licensing, region/hosting constraints, change management, and decommissioning
- Define and validate platform safety requirements, including content filtering, prompt-injection protection, data-leakage protection, and secure-by-default agent/tool patterns
- Define platform identity and access requirements, including Entra ID integration, key management and rotation, least privilege, and environment separation
- Define observability, auditability, and evidence requirements covering logging, telemetry, traceability, and cost/usage accountability
- Conduct AI risk assessments covering misuse scenarios, robustness, supply-chain and vendor risks, and onboarded-model security posture
- Support internal and external AI-system audits by coordinating control evidence, testing, logs, approvals, exceptions, and remediation tracking
- Support DPIAs, LIAs, and other privacy/compliance assessments related to platform usage
- Contribute to responsible AI compliance dashboards and KPIs
- Support AI-service incident response, investigations, stakeholder communications, and corrective actions
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, information security, data science, law, or a comparable discipline
- Demonstrated expertise in information security, privacy engineering, data protection, and enterprise risk management
- In-depth understanding of GDPR, the EU AI Act, and responsible AI principles
- Experience conducting technology risk assessments and compliance reviews
- Experience defining controls and documenting evidence for audit readiness
- Hands-on experience with AI governance tooling, model registries, approval workflows, policy enforcement mechanisms, and evidence repositories
- Practical understanding of the AI/ML lifecycle from data sourcing and model development through evaluation, deployment, monitoring, and change management
- Ability to translate regulatory and policy requirements into technical and organizational measures
- Familiarity with NIST, ISO 2700x, and OWASP Top 10 for LLM applications
- Strong stakeholder management and communication skills
- Professional integrity, discretion, and judgment with sensitive or regulated information
- Fluent business-level English
- German proficiency is an advantage
- AI security testing and assurance experience is advantageous, including prompt injection, data leakage, adversarial robustness, and red teaming
- Knowledge of secure cloud architecture and AI workload controls is beneficial
- Familiarity with data governance and compliance practices is beneficial
- Audit and assurance experience, including ISO 27001, SOC 2, or equivalent frameworks, is valuable
- Experience collaborating with offshore partners and across time zones is advantageous
- Strong analytical capabilities and exceptional attention to detail
- Ability to influence and align cross-functional stakeholders without formal authority
Benefits
Comp & perks- Attractive salary
- Excellent company pension
- Health-related benefits
- Flexible working arrangements
- Home office equipment
- Modern and ergonomic workplace equipment for home and office
- Sabbaticals
- Part-time possibilities
- Family service
- Bike leasing offer (deferred compensation)
- E-car charging stations at almost all Uniper locations
- Flu vaccination
- Preventive health services
- Employee assistance program
- Employer-funded contributions to a modern pension system
- Self-funded contributions with employer-funded matching
- Lifelong training
- Coaching
- Supportive working culture
- International and diverse working environment