ICT Infrastructure Specialist

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/