AI Solutions Architect (Business Engagement)

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 OECDs 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 OECDs corporate AI framework by identifying designing and implementing high-value AI solutions that strengthen the Organisations analytical and operational capabilities. Acting as the principal interface between the AI Lab and OECD Directorates you will work closely with business teams to identify high-impact opportunities for AI translate them into structured use cases and support their progression from concept through proof of concept to operational deployment where appropriate. 

A key responsibility will be to determine the most appropriate technical approach for each use case assessing whether solutions are best delivered through enterprise productivity tools AI workflows and applications or more advanced experimental doing so you will consider factors such as security data sensitivity cost scalability interoperability and organisational impact while ensuring that AI implementation remains closely aligned with OECD analytical and policy work and supports a coherent Organisation-wide AI architecture and governance framework. 

Main Responsibilities 

Identifying and prioritising AI opportunities 

• Work with Directorates to identify high-value tasks and business processes that could benefit from AI.  

• Evaluate opportunities according to organisational impact scalability feasibility and strategic value.  

• Support the prioritisation of use cases across the Organisation. 

Solution Design and Architecture 

• Translate business needs into structured AI workflows and solution designs.  

• Identify the most appropriate AI architecture for each use case considering:  

• security and information sensitivity;  

• technical feasibility;  

• cost and licensing implications;  

• organisational scalability;  

• integration with existing OECD systems;  

• governance and operational sustainability.  

• Work closely with technical colleagues within the AI Lab to validate architectural choices. 

Prototype Development 

• Develop proofs of concept and pilot solutions using appropriate AI tools and platforms.  

• Contribute to coding prompt engineering API integration workflow design and evaluation.  

• Support iterative testing with business users. 

Workflow Transformation 

• Analyse existing business processes.  

• Identify organisational and technical bottlenecks.  

Knowledge Sharing 

• Represent the OECD in international AI fora partnerships and policy discussions. 

• Build and maintain strategic relationships with governments international organisations academia and the private sector. 

• Contribute to OECDs global leadership in AI governance standards and policy frameworks. 

• Act as an ambassador for the OECD AI standards and responsible AI practices. 

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. 

Qualifications :

Ideal Candidate Profile 

Academic Background 

• Advanced university degree in Artificial Intelligence Data Science Computer Science Economics Public Policy or a related field or equivalent practical experience. 

Professional Background 

• Demonstrated ability to identify scope and structure AI use cases.  

• Demonstrated prompt engineering and context engineering skills. Understanding of AI workflow design and evaluation. 

• Understanding of the strengths and limitations of proprietary and open-weight models. 

• Familiarity with cloud-based and on-premises deployment models. 

• Ability to assess architectural trade-offs relating to security cost scalability and governance. 

• Strong analytical and communication skills with the ability to translate business requirements into technical solutions. 

• Experience in international or multilateral environments is highly desirable. 

Tools: 

• Experience building applications using APIs and Python. 

• Strong experience with at least one leading AI platform (OpenAI Microsoft Anthropic Mistral or Google). 

• Familiarity with orchestration frameworks retrieval-augmented generation (RAG) agents and workflow automation would be an advantage. 

Languages 

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other with a commitment to reach a good working level. 

Core Competencies 

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring process: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2). 

• To learn more about the definitions for each competency for levels 1-3 please refer to OECD Core Competencies. 

Additional Information :

Closing Date 

• This vacancy should be filled as soon as possible and applications should reach us no later thanmidnight 14th August 2026 (Paris time). 

Contract Duration 

• 36-month fixed-term appointment with the possibility of renewal

• Please note that our Rules and Regulations stipulate that the mandatory retirement age is 67. 

What the OECD offers 

• Depending on level of experience monthly salary starts at 6838.10EUR plus allowances based on eligibility exempt of French income tax. 

• Click here to learn more about what we offer and why the OECD is a great place to work.  

• Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD our workplace environment and many other policies supporting staff in their daily life.  

Salary Information   

• Salary and conditions will depend on the Official grade.  

Selection Process 

For retained candidates written tests and/or video-recorded interviews are expected to take place at the end of August 2026 with panel interviews planned for the beginning of September 2026.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries irrespective of their racial or ethnic origin opinions or beliefs gender sexual orientation health or disabilities. 

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.

Remote Work :

No

Employment Type :

Full-time