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 CAI 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.

Main Responsibilities

Design and Implement an Internal AI Engineering Framework

Design and develop a reusable framework for agentic AI solutions to be used across the Organisation.

Define and implement:

Reference architectures for AI and agent-based systems

Reusable components, libraries and templates

Standard patterns for orchestration, tool usage, memory and workflows

Produce technical documentation, guidelines and best practices to support consistent and scalable AI development.

Evaluate and integrate relevant tools, frameworks and approaches in a rapidly evolving ecosystem.

Build and Implement AI Solutions

Contribute directly to the design, development and testing of AI applications, including:

Prototyping and rapid iteration

Implementation of RAG pipelines, agents and AI services

Integration with enterprise systems and data sources

Collaborate with internal teams to refine technical requirements and ensure solutions are feasible, robust and aligned with enterprise constraints.

Select and apply appropriate technologies, including commercial AI platforms and open-source/open-weight models, depending on the use case.

Industrialise and Operationalise AI Use Cases

Transform proofs of concept (PoCs) and experimental solutions into production-ready tools.

Ensure solutions meet enterprise requirements in terms of:

Performance and scalability

Security and compliance

Maintainability and supportability

Financial sustainability

Contribute to deployment, packaging and release processes.

Support handover to operational teams, including documentation, knowledge transfer and alignment with support models.

Develop reusable assets and components to accelerate future implementations.

Continuous Improvement

Keep abreast of advances on emerging industry trends, related technologies, methodologies and best practices.

Promote excellence and contribute to improving effectiveness, efficiency and division-level excellence.

Contribute to other related tasks within EXD/DKI, as required.