AI Solutions Architect

The AI Solutions Architect will work within the AI Lab in EXD/DKI/CAIO to support the development and operationalisation of the OECD’s corporate AI framework. The role involves identifying, designing, and implementing AI solutions that enhance the Organisation’s analytical and operational capabilities, acting as the principal interface between the AI Lab and OECD Directorates.

Responsibilities

• 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.
• Translate business needs into structured AI workflows and solution designs.
• Identify the most appropriate AI architecture for each use case, considering security, information sensitivity, technical feasibility, cost, 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.
• 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.
• Analyse existing business processes and identify organisational and technical bottlenecks.
• 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 OECD’s global leadership in AI governance, standards and policy frameworks.
• Act as an ambassador for the OECD AI standards and responsible AI practices.
• 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.

Requirements

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

Skills

• AI Use Case Documentation
• Prompt Engineering
• Context Engineering
• AI Workflow Tools
• AI Model Evaluation
• Proprietary AI Models
• Open-weight AI Models
• Cloud Deployment
• On-premises Deployment
• Security Architecture
• Cost Assessment
• Scalability Evaluation
• Governance Assessment
• Business Requirements Translation
• API Development
• Python Programming
• OpenAI
• Microsoft AI Platform
• Anthropic AI Platform
• Mistral AI Platform
• Orchestration Frameworks
• Retrieval-Augmented Generation
• Workflow Automation

Languages

English, French