Consultant Cloud AI Sovereignty (ICT Consultant)
About The Position
We are seeking an AI Consultant with strong expertise in AI sovereignty, data sovereignty, and regulatory compliance to support customers in highly regulated environments (e.g., public sector, finance, healthcare). The role focuses on advising on and designing sovereign AI solutions that meet legal, security, and operational requirements—ensuring that data usage, model governance, and AI landscapes are compliant, auditable, and resilient. The position requires implementation experience to enable pragmatic advisory and direct customer engagement, translating complex regulatory and technical requirements into target architectures, controls, and operating models.
Requirements
- Bachelor’s degree (or higher) in Computer Science, Information Systems, Cybersecurity, or related field.
- 3–6 years experience in consulting / architecture / security & compliance roles with customer-facing responsibility.
- Proven hands-on implementation experience delivering AI/data platforms or governance/security controls in real environments.
- Strong understanding of data sovereignty principles (residency, access governance, encryption, KMS/HSM, audit logging, third-country transfer risk).
- Familiarity with EU regulatory environment (GDPR, NIS2, DORA; EU AI Act readiness is a strong plus).
- Solid knowledge of cloud and hybrid architectures for AI workloads (Azure/AWS/GCP or sovereign/private cloud alternatives).
- Practical experience with data governance concepts (data classification, lineage, retention, DLP) and AI operationalitation (MLOps/LLMOps).
- Strong stakeholder management and ability to lead workshops, produce governance documentation, and present to technical + executive audiences.
Responsibilities
- Act as a trusted advisor and mediator between delivery teams and customers to address AI sovereignty, data sovereignty, and compliance requirements during AI solution design and rollout
- Assess customer environments (cloud/hybrid/on-prem) and define sovereignty requirements for AI workloads (data residency, access controls, encryption, key management, segregation, logging, auditability)
- Design and implement AI governance frameworks (model lifecycle governance, risk classification, documentation, approval workflows, accountability, audit readiness)
- Support customers in building compliant AI architectures (secure-by-design, privacy-by-design), including data pipelines, model hosting concepts, and AI operational models (MLOps/LLMOps)
- Translate regulatory needs into implementable controls aligned with frameworks such as EU AI Act
- Define and advise on the implementation of control sets for AI systems: monitoring, incident response for AI, model change management, drift detection, explainability/traceability, data lineage, retention policies
- Develop and present customer-specific concepts, roadmaps, and target operating models (people/process/technology) for sovereign AI adoption
Benefits
- Financial benefits
- Benefits with focus on learning and development
- Benefits with focus on health and sport
- Benefits with focus on family and work – life balance
- Other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
