{"id":915079,"url":"https://alion.io/job/oecd-senior-ai-engineer-2","title":"Senior AI Engineer","company":{"id":4397,"name":"OECD","domain":"oecd.org","url":"https://alion.io/company/oecd","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":7782,"max":null,"currency":"EUR","period":"month","gross":null,"usd_annual":106092},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"RAG","optional":false},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-14T15:53:35Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-30T17:12:26Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"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.\n 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.\nWithin 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.\nFollowing 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.\nIn 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.\nYou 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.\nPlease note: We wish to create a roster of candidates for potential future roles of a similar nature. Therefore, we encourage aspiring candidates to apply, even in cases where they may not meet all of the listed criteria.\nMain Responsibilities\nDesign and Implement an Internal AI Engineering Framework\nDesign and develop a reusable engineering framework for AI and agent-based solutions across the Organisation.\n\nDefine reference architectures, reusable components, templates and standard development patterns for AI applications, workflows and integrations.\n\nEstablish practical technical guidance and engineering standards to support the consistent, secure and scalable development of AI solutions.\n\nEvaluate relevant technologies, platforms and approaches, taking account of the rapidly evolving AI ecosystem and the OECD’s enterprise requirements.\n\nContribute to a coherent Organisation-wide approach to AI architecture, implementation and governance.\n\nIdentify and Design High-Value AI Solutions\nWork with OECD Directorates and internal teams to identify, scope and structure high-value AI use cases.\n\nAnalyse business requirements and existing workflows, identifying where AI could improve organisational impact, productivity or ways of working.\n\nTranslate business needs into clear technical requirements, solution designs and implementation approaches.\n\nAssess potential solutions in terms of feasibility, information sensitivity, security, cost, scalability, interoperability and operational sustainability.\n\nPrioritise practical and reusable approaches that can deliver value across multiple business areas where appropriate.\n\nBuild and Implement AI Solutions\nLead and contribute directly to the design, development, testing and evaluation of AI applications, services and workflows.\n\nDevelop prototypes and proofs of concept, using rapid iteration to validate technical assumptions and user requirements.\n\nImplement AI capabilities such as retrieval-augmented generation, agent-based workflows, data pipelines and integrations with enterprise systems.\n\nSelect appropriate commercial, open-source or open-weight technologies according to the needs and constraints of each use case.\n\nWork iteratively with business users and technical colleagues to ensure that solutions are effective, usable, robust and aligned with organisational requirements.\n\nIndustrialise and Operationalise AI Use Cases\nTransform proofs of concept (PoCs) and experimental solutions into production-ready tools.\n\nEnsure solutions meet enterprise requirements in terms of: \nPerformance and scalability \nSecurity and compliance \nMaintainability and supportability \nFinancial sustainability \nContribute to deployment, packaging and release processes.\n\nSupport handover to operational teams, including documentation, knowledge transfer and alignment with support models.\n\nDevelop reusable assets and components to accelerate future implementations.\n\nCollaboration & Continuous Improvement\nProvide technical advice to business and technology teams on the appropriate use of AI tools, models and engineering approaches.\n\nCommunicate technical concepts, architectural choices, implementation considerations and responsible AI practices clearly to both specialist and non-specialist stakeholders.\n\nKeep abreast of advances on emerging industry trends, related technologies, methodologies and best practices.\n\nPromote excellence and contribute to improving effectiveness, efficiency and division-level excellence.\n\nContribute to other related tasks within EXD/DKI, as required.\n\n Ideal Candidate Profile\nAcademic Background\nAdvanced university degree in Artificial Intelligence, Data Science, Computer Science, Economics or a related field, or equivalent practical experience.\n\nProfessional Background\nSignificant experience designing, developing and implementing AI-enabled applications, services or enterprise solutions.\n\nDemonstrated ability to take AI solutions from initial concept and prototyping through to operational deployment.\n\nAbility to work autonomously on complex technical topics.\n\nPragmatic, solution-oriented and delivery-focused approach.\n\nStrong problem-solving skills and adaptability in a fast-evolving field.\n\nExperience in international or multilateral environments is highly desirable.\n\nTools\nThe successful candidate would demonstrate/possess several of the following:\nMajor generative AI platforms and model ecosystems.\n\nRetrieval-augmented generation, agent-based systems and AI workflow orchestration. Demonstrated MCP (Model Context Protocol) experience and skills.\n\nPython-based application, API and data-pipeline development.\n\nEnterprise integration and the processing of structured and unstructured data.\n\nCloud-based, on-premises or hybrid AI deployment environments.\n\nSoftware engineering practices including testing, version control, deployment, monitoring and lifecycle management.\n\nSecurity controls, access management and responsible AI safeguards.\n\nLanguages\nFluency 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. .\n\nCore Competencies\nOECD 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).\n\nTo learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies.\n\n Closing Date\nThis vacancy should be filled as soon as possible, and applications should reach us no later than midnight 6th October 2026 (Paris time).\n\nContract Duration\n36-month fixed-term appointment, with the possibility of renewal,\n\nPlease note that our Rules and Regulations stipulate that the mandatory retirement age is 67.\n\nWhat the OECD offers\nDepending on level of experience, monthly salary starts at 7,782.39 EUR, plus allowances based on eligibility, exempt of French income tax.\n\nClick here to learn more about what we offer and why the OECD is a great place to work.\n\nClick 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.\n\nSelection Process\nFor retained candidates, written tests/video-recorded interviews are expected to take place in mid-late October 2026, with panel interviews planned for mid-late November 2026.\nThe 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.\nThe 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.","description_format":"text","description_chars":9792,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-14T19:34:00Z"}],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.857,"p_room":0.9,"age_days":16,"expected_fill_days":36,"reasons":["conf:12","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":106092,"is_top_pay":false},"html_url":"https://alion.io/job/oecd-senior-ai-engineer-2","json_url":"https://alion.io/job/oecd-senior-ai-engineer-2.json","meta":{"generated_at":"2026-10-01T19:24:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1972,"day_limit":5000,"remaining_today":3028,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}