Senior AI Engineer

The Organisation for Economic Co-operation and Development ( OECD ) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.

Job Description

The Executive Directorate (EXD) stewards OECD resources on behalf of the Secretary-General, with responsibility for people and wellbeing, budget management, security, infrastructure, and the OECD’s convening activities. EXD provides corporate services and strategic advice on management and corporate policies to the Secretary-General, Council and Standing Committees, and delivers compliance and risk management functions within its remit, operating in a fast-paced environment focused on management excellence.

Within the Executive Directorate (EXD), the Digital, Knowledge and Information Service (DKI) is responsible for overseeing corporate IT infrastructure and operations, maintaining digital security, information management, and delivering digital and other IT-related products and services. EXD/DKI also supports the safe adoption of artificial intelligence (AI) technologies across the Organisation.

Following the recommendation of the OECD AI Task Force and in line with the evolving AI-related requirements of the OECD, the Corpoate AI Office (CAIO) division has been established to support the safe adoption of AI technologies across the Organisation. CAI is tasked with overseeing the shift from initial experimentation towards the scaled adoption of AI (from Exploration to Institutionalisation) that delivers tangible value with a clear emphasis on enhancing organisational impact, improving productivity, and transforming ways of working.

In this role, you will sit within the AI Lab in EXD/DKI/CAIO. The AI Lab supports the development and operationalisation of the OECD’s corporate AI framework by identifying, designing and implementing high-value AI solutions that strengthen the Organisation’s analytical and operational capabilities.

You will be focused on building, structuring and industrialising AI solutions to support the Organisation’s adoption of advanced AI capabilities. You will also contribute to the development of internal AI capabilities.

Please note:We wish to create a roster of candidates for potential future roles of a similar nature. Therefore, we encourage aspiringcandidates to apply,even in cases where they may not meet all of the listed criteria.

Main Responsibilities

Design and Implement an Internal AI Engineering Framework

Design and develop a reusable engineering framework for AI and agent-based solutions across the Organisation.

Define reference architectures, reusable components, templates and standard development patterns for AI applications, workflows and integrations.

Establish practical technical guidance and engineering standards to support the consistent, secure and scalable development of AI solutions.

Evaluate relevant technologies, platforms and approaches, taking account of the rapidly evolving AI ecosystem and the OECD’s enterprise requirements.

Contribute to a coherent Organisation-wide approach to AI architecture, implementation and governance.

Identify and Design High-Value AI Solutions

Work with OECD Directorates and internal teams to identify, scope and structure high-value AI use cases.

Analyse business requirements and existing workflows, identifying where AI could improve organisational impact, productivity or ways of working.

Translate business needs into clear technical requirements, solution designs and implementation approaches.

Assess potential solutions in terms of feasibility, information sensitivity, security, cost, scalability, interoperability and operational sustainability.

Prioritise practical and reusable approaches that can deliver value across multiple business areas where appropriate.

Build and Implement AI Solutions

Lead and contribute directly to the design, development, testing and evaluation of AI applications, services and workflows.

Develop prototypes and proofs of concept, using rapid iteration to validate technical assumptions and user requirements.

Implement AI capabilities such as retrieval-augmented generation, agent-based workflows, data pipelines and