08/18/2026 updated
100 % available
Enterprise AI Solutions Architect & Technology Leader
Auderghem, Belgium
Worldwide
MSc in Electronics Engineering (Telecommunications), University of Louisiana (USA), 1999About me
Enterprise solution architect & entrepreneur, 25+ years in SAP, data governance and AI architecture. Director at a Big 4 consulting firm; co-founder of an AI agency, designing enterprise AI/agentic architectures from PoC to production. Deep tech grounding, executive credibility. EU AI Act aligned.
Applications ArchitectureMicrosoft AzureBusiness Intelligence DevelopmentData ArchitectureData GovernanceEnterprise Architecture FrameworkIndustry Standard ArchitectureMicrosoft Business IntelligenceAzure Machine LearningSAP HANASolution ArchitectureEnterprise Application IntegrationAzure AutomationModel-Driven ArchitectureEnterprise Application Platform
Enterprise AI & Agentic Solution Architecture
Design of enterprise AI and agentic solution architectures spanning data, model and application layers, including integration patterns that connect AI platforms to core business applications and enterprise data sources, with alignment to EU AI Act governance requirements.
SAP Enterprise Landscapes & End-to-End Transformation
Deep expertise in SAP enterprise landscapes including ECC and S/4HANA, covering end-to-end transformation programs, application management, target operating model design and complex SAP merger, acquisition and divestiture programs including data migration and integration design.
Data Architecture, Master Data Management & Integration
Comprehensive knowledge of data architecture, master data management and data governance at enterprise scale, including ETL, API and middleware integration patterns, event-driven architectures and master data platforms.
AI & LLM Platforms
Hands-on experience with AI and LLM platforms including Azure OpenAI, OpenAI, Anthropic Claude and Mistral, as well as RAG and agentic architectures, prompt engineering and MLOps/LLMOps practices.
Machine Learning Frameworks & Programming
Practical use of machine learning frameworks such as PyTorch and TensorFlow, programming languages including Python, JavaScript and ABAP, and data analytics tools such as Jupyter Notebooks, Pandas and NumPy.
Microsoft Azure Platform & AI Studio
Experience with Microsoft Azure Platform and AI Studio for cloud-based AI solution deployment, monitoring and governance, combined with data visualisation tools including Matplotlib, Seaborn, Tableau and Power BI.
AI Governance & EU AI Act Alignment
Establishment of deployment, monitoring and governance frameworks ensuring AI models and agents remain secure, auditable and aligned with the EU AI Act, including model and agent lifecycle standards.
ITSM & Service Management Tools
Proficiency with ITSM tools including ServiceNow, Jira, Xurrent and BMC Remedy, as well as service level agreement management, monitoring and performance tuning within large-scale managed service environments.
Project & Delivery Management
Leadership of large onshore/offshore delivery organisations, global delivery management across multiple time zones, use of project tools such as Jira and Microsoft Project, and application of ITIL framework for operational governance.
Cloud & Vendor Evaluation
Technology, platform and vendor evaluation including solutioning and build-vs-buy decisions, with continuous assessment of emerging AI platforms, models and vendors for technical fit and scalability.
Design of enterprise AI and agentic solution architectures spanning data, model and application layers, including integration patterns that connect AI platforms to core business applications and enterprise data sources, with alignment to EU AI Act governance requirements.
SAP Enterprise Landscapes & End-to-End Transformation
Deep expertise in SAP enterprise landscapes including ECC and S/4HANA, covering end-to-end transformation programs, application management, target operating model design and complex SAP merger, acquisition and divestiture programs including data migration and integration design.
Data Architecture, Master Data Management & Integration
Comprehensive knowledge of data architecture, master data management and data governance at enterprise scale, including ETL, API and middleware integration patterns, event-driven architectures and master data platforms.
AI & LLM Platforms
Hands-on experience with AI and LLM platforms including Azure OpenAI, OpenAI, Anthropic Claude and Mistral, as well as RAG and agentic architectures, prompt engineering and MLOps/LLMOps practices.
Machine Learning Frameworks & Programming
Practical use of machine learning frameworks such as PyTorch and TensorFlow, programming languages including Python, JavaScript and ABAP, and data analytics tools such as Jupyter Notebooks, Pandas and NumPy.
Microsoft Azure Platform & AI Studio
Experience with Microsoft Azure Platform and AI Studio for cloud-based AI solution deployment, monitoring and governance, combined with data visualisation tools including Matplotlib, Seaborn, Tableau and Power BI.
AI Governance & EU AI Act Alignment
Establishment of deployment, monitoring and governance frameworks ensuring AI models and agents remain secure, auditable and aligned with the EU AI Act, including model and agent lifecycle standards.
ITSM & Service Management Tools
Proficiency with ITSM tools including ServiceNow, Jira, Xurrent and BMC Remedy, as well as service level agreement management, monitoring and performance tuning within large-scale managed service environments.
Project & Delivery Management
Leadership of large onshore/offshore delivery organisations, global delivery management across multiple time zones, use of project tools such as Jira and Microsoft Project, and application of ITIL framework for operational governance.
Cloud & Vendor Evaluation
Technology, platform and vendor evaluation including solutioning and build-vs-buy decisions, with continuous assessment of emerging AI platforms, models and vendors for technical fit and scalability.
Experience
Professional experience10+ years
Freelancer since2022
Languages
EnglishFluentFrenchNative speaker
Project history
Co-founded and runs CEVIA, a Brussels-based firm helping European organisations turn generative AI ambitions into governed, production-ready capability. Designs enterprise AI and agentic solution architectures spanning data, model and application layers, defines integration patterns connecting AI platforms to core business applications, establishes deployment, monitoring and governance frameworks aligned with the EU AI Act, and supports business units in moving use cases from proof of concept into production. Owns the full entrepreneurial scope including strategy, P&L, service portfolio design, client acquisition and delivery.
Offering leader for Deloitte SAP Operate. Accountable for the solution design and delivery of application management engagements for Tier-1 clients across life sciences, retail and CPG, shaping target operating models and end-to-end architectures for complex SAP landscapes. Leads an 80-person onshore/offshore organisation and drives Operate growth through solution shaping, pre-sales architecture and executive client engagement. Positioned automation, data and AI-enabled service models within the Operate portfolio and converted multi-million-euro engagements.
Solution architect for Master Data and Data Governance propositions across Northern Europe. Translated complex business challenges into end-to-end solution designs covering data architecture, integration and governance, and owned the technical content of proposals and RFP responses. Coordinated multi-disciplinary solution teams and defended architecture choices with senior client stakeholders. Recognised as HP EMEA North Sales Star for closing a multi-million-euro contract with a Swedish manufacturing client.