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

Have Bachelor’s degree (or higher) in Computer Science, Information Systems, Cybersecurity, or related field.
Have 3–6 years experience in consulting / architecture / security & compliance roles with customer-facing responsibility.
Have proven hands-on implementation experience delivering AI/data platforms or governance/security controls in real environments.
AI Sovereignty & Compliance Knowledge: 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).
Technical & Platform Skills: 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).
Communication & Consulting Skills: Strong stakeholder management and ability to lead workshops, produce governance documentation, and present to technical + executive audiences.

Consultant, Cloud AI Sovereignty

Key skills