Consultant Cloud AI Sovereignty (ICT Consultant)

Purpose

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.
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
Educational Background: Bachelor’s degree (or higher) in Computer Science, Information Systems, Cybersecurity, or related field.

WHAT WILL YOU DO?

• 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