AI Consultant (42056)

I am looking for an experienced AI Consultant who will act as a trusted advisor between delivery teams and customers during the design and rollout of AI solutions with a focus on AI and data sovereignty. Your role will involve assessing customer environments, defining requirements for AI workloads, and designing governance frameworks and compliant AI architectures. I expect 3–6 years of experience in consulting, architecture, or security & compliance, hands-on delivery of AI/data platforms, knowledge of data governance and cloud architectures, and familiarity with regulations such as GDPR, NIS2, and DORA.

🚀 Project
- 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

🎯 Skills
- 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)
- 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

💡 Nice to have
- EU AI Act readiness