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United Nations Educational, Scientific and Cultural Organization
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Job Description
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Description
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SCOPE OF WORK
European Commission Project
Assess current ICT infrastructure: assess the existing ICT infrastructure, including data, cybersecurity, and AI components.
- Develop reference documentation on data governance strategy in the context of AI, data and AI interoperability and data stewardship: comprehensive reference documentation must be developed to outline the necessary conditions to build an AI-ready data infrastructure for the Flemish public administration. The documentation needs to provide guidance on effectively managing data for AI applications while upholding ethical standards, complying with data classification and regulatory requirements (AI Act, GDPR, Data Act, Data Governance Act, Cloud Strategy), and respecting further legal, political and technical sensitivities.
- Develop reference AI-ready architecture framework: inform the development of a reference architecture framework that outlines the essential components and features necessary for an AI-ready infrastructure while considering the sensitive nature of some data, as well as associated risks and implications for the Flemish public administrations. The framework must serve as a guideline for enhancing the existing ICT infrastructure for AI projects, providing a structured approach to address identified gaps and leverage existing strengths within the infrastructure.
- Provide analysis on potential reusable AI components: recommendations must be provided on the possible ways and feasibility of introducing reusable AI components.
- Piloting the AI-ready reference architecture framework and potential reusable AI components with stakeholders: once the AI-ready reference architecture framework is developed, it needs to be piloted in a use case with stakeholders from the Flemish public administration through additional workshops, meetings, and consultations. This validation process must ensure that the framework accurately reflects the needs, requirements, and priorities of public administration entities in Flanders and aligns with their strategic objectives for AI implementation.
General Tasks
- Engaging substantively as part of the Ethics of AI team in the regular efforts to link its work with the high-level processes related to ethics and governance of AI (including within the UN system, G20 and G7 platforms, GPAI, and others).
- Contributing to other ongoing work of the AI Ethics Team: contributing to ongoing research and analysis conducted by the secretariat; participating in meetings; presenting the work to different stakeholders; supporting the secretariat with the preparation of different materials such as speeches, presentations, blogs, white papers etc.
REQUIRED QUALIFICATIONS
Education
- Advanced university degree (Master’s or equivalent) in the governance of artificial intelligence, ethical and social implications of artificial intelligence or digital technologies, law and technology, computer science, data science, computational social science, or other related fields.
Work Experience
- A minimum of five years of professional experience on the ethical, legal, social and governance issues of artificial intelligence and related digital technologies at the national and/or international level. A PhD can count as work experience.
- Proven experience involving ICT infrastructure is mandatory:
- Extensive expertise in AI technologies, data governance, regulatory compliance, data quality management, bias analysis, ethical AI practices, interoperability standards, and cloud infrastructure solutions.
- Comprehensive knowledge of aligning AI initiatives with business strategies, stakeholder engagement, identifying and prioritizing AI use cases, change management, and tracking business performance metrics. Expertise in selecting and adapting foundational AI models, data governance, security management, technology standardization, AI platform development, integration strategies, scalable AI architectures, and using AI to enhance enterprise architecture.
- Expertise in identifying requirements for modular and composable AI solutions, defining solution architecture guidelines for microservices, building robust data pipelines, managing AI model lifecycle, and developing well-documented APIs and interfaces for system integration.
- Expertise in ensuring seamless data flow and connectivity for AI workloads, leveraging scalable and flexible cloud infrastructure, and optimizing costs and resources through shared resources and ad hoc sandboxes for development.
Languages
- Excellent knowledge (spoken and written) of English.
Source: https://careers.unesco.org/job/Paris-ICT-Infrastructure-Specialist/800661402/
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