Job Description
Project/Department Description and Responsibilities
The AI Architect plays a central role in the design and delivery of the RIO MVP solution within MLOZ. The position oversees the end to end architecture, including the application landscape, SharePoint migration, unified data model, extraction pipeline, RAG layer, compliance, security, and delivery governance.
The architect ensures technical consistency, alignment with business requirements, and coordination with all relevant MLOZ stakeholders.
Primary Tasks and Responsibilities
* Define the complete architecture for the MVP, covering ingestion, storage, metadata management, RAG/LLM flows, search engine, and validation tools.
* Translate business needs into a clear and actionable delivery plan, including risks, KPIs, and prioritization.
* Guide AI/ML teams and engineering teams throughout the implementation phase.
* Integrate GDPR, EU AI Act, ISO 42001, Azure security practices, and overall project governance into the solution design.
* Ensure alignment between technical decisions and user experience expectations.
* Lead and facilitate technical decision making workshops and arbitration sessions.
Secondary Tasks and Responsibilities
* Support documentation of architectural choices, standards, and best practices.
* Contribute to continuous improvement of engineering practices and architecture governance.
* Assist in onboarding team members regarding architecture principles and project guidelines.
* Collaborate closely with product owners, business stakeholders, and security/compliance teams.
* Provide expert review and validation of technical deliverables.
Technical Profile Requirements
* 15+ years of experience in architecture, digital transformation, or delivery of complex enterprise projects.
* Proven expertise in AI solution deployment, including LLM/RAG architectures, data pipelines, and cloud environments.
* Strong understanding of GDPR, EU AI Act, ISO 42001, and security frameworks, especially in Azure.
* Solid knowledge of SharePoint migrations, metadata models, and enterprise data structuring.
* Experience with architectural modeling, solution design, and system integration.
Non Technical Profile Requirements
* Strong leadership skills with the ability to guide multidisciplinary teams.
* Excellent communication capabilities, able to translate complex technical topics into actionable business decisions.
* Strategic mindset with a structured and analytical approach.
* Ability to manage priorities, drive alignment, and influence stakeholders.
* Demonstrated experience in team management and portfolio/project governance.
Methodology/Certification Requirements
* Experience with Agile and PRINCE2 governance frameworks.
* Background in portfolio management and structured delivery methodologies.
* Relevant certifications in architecture, project management, AI, or cloud security are considered an advantage.
Language Proficiencies
* FR and NL: fluent in one with good proficiency in the other national language.
* ENG: English is considered a strong plus.