Consultant, Cloud AI Sovereignty

This is a fully remote position, open to applicants in Slovakia.

📋 Description

• Serve as a reliable advisor and intermediary between delivery teams and clients to tackle AI sovereignty, data sovereignty, and compliance needs during the design and implementation of AI solutions.

• Evaluate customer environments (cloud/hybrid/on-premises) and establish sovereignty criteria for AI workloads (data residency, access controls, encryption, key management, segregation, logging, auditability).

• Create and execute AI governance frameworks (model lifecycle governance, risk classification, documentation, approval workflows, accountability, audit readiness).

• Assist clients in developing compliant AI architectures (secure-by-design, privacy-by-design), which includes data pipelines, model hosting strategies, and AI operational models (MLOps/LLMOps).

• Convert regulatory requirements into actionable controls aligned with frameworks such as the 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, and retention policies.

• Create and deliver customer-specific concepts, roadmaps, and target operating models (people/process/technology) for sovereign AI adoption.

⛳️ Requirements

• Hold a Bachelor’s degree (or higher) in Computer Science, Information Systems, Cybersecurity, or a related discipline.

• Possess 3–6 years of experience in consulting/architecture/security & compliance roles with direct customer engagement responsibilities.

• Demonstrate proven hands-on implementation experience in delivering AI/data platforms or governance/security controls in real-world settings.

• AI Sovereignty & Compliance Expertise: Strong grasp of data sovereignty principles (residency, access governance, encryption, KMS/HSM, audit logging, third-country transfer risk).

• Familiarity with the EU regulatory landscape (GDPR, NIS2, DORA; readiness for the EU AI Act is a significant advantage).

• Technical & Platform Proficiency: Robust understanding 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 operationalization (MLOps/LLMOps).

• Communication & Consulting Abilities: Strong stakeholder management skills with the capability to lead workshops, produce governance documentation, and present to both technical and executive audiences.

🏝️ Benefits

• Financial benefits

• Benefits focusing on learning and development

• Benefits emphasizing health and fitness

• Benefits aimed at family and work-life balance

• Additional benefits