IDB. AI Financial Intelligence, Graphs and Data Integration Intern, Washington D.C.

IDB. AI for Financial Intelligence, Knowledge Graphs and Data Integration Intern Job Description IDB. AI for Financial Intelligence, Knowledge Graphs and Data Integration Intern City:
Washington DC Company: IDB Posting End Date: 9/25/2026 11:59 PM EST

The IDB Group is a community of diverse, versatile, and passionate people who come together on a journey to improve lives in Latin America and the Caribbean. Our people find purpose and do what they love in an inclusive, collaborative, agile, and rewarding environment.

The IDB Group is looking for an active graduate student found to be hired as an intern under the Consultant modality.

The 2027 Winter Internship Program is a competitive paid opportunity, based in Headquarters, for university students from member countries to learn about development work and corporate management of the Bank, and to acquire work experience at the professional level through on-the-job learning.

The Institutional Capacity of the State Division (ICS) is seeking a graduate intern to support its Transparency and Integrity thematic area. The intern will help develop and test artificial intelligence (AI) tools that make it easier to find, organize, and analyze information from large collections of government, administrative, and public records. Working alongside specialists in governance, data, and technology, the intern will support efforts to transform documents and databases into practical tools that help users identify connections, answer complex questions, and uncover patterns that would otherwise be difficult to detect.

This includes helping to improve data quality, linking related information from different sources, and contributing to user-friendly applications that allow non-technical experts to access and use information more effectively.

Specifically, the intern will support the design and prototyping of AI applications and interfaces that operate over large administrative and documentary databases. The work focuses on three connected areas: (i) retrieval-augmented generation (RAG) and graph-based retrieval (GraphRAG), combined with AI agents; (ii) AI-assisted extraction that turns digitized text and PDF collections into structured, query-ready datasets; and (iii) intelligent linking of related databases — including recovery from human data-entry errors in names, addresses, and geographic references — so that the resulting network of relationships can be analyzed and surfaced to users through well-designed interfaces.

These capabilities will be applied to financial integrity use cases that are a priority for the region: financial intelligence analytics, anti-money laundering and countering the financing of terrorism (AML/CFT), traceability of financial transactions, and identification of ultimate beneficial owners across corporate, procurement, registry, and sanctions-related data sources. The intern will therefore see how AI methods translate into concrete tools that help supervisory authorities, financial intelligence units, and integrity teams detect risk patterns and follow the money across fragmented datasets.

Prior knowledge of AML/CFT is not required — curiosity about the domain is.

• Support the design of implementation blueprints and reference architectures for AI applications and interfaces that query, join, and present large structured and unstructured data sources used in financial intelligence and integrity analysis.
• Prototype retrieval-augmented generation (RAG) and graph-based retrieval (GraphRAG) pipelines end-to-end — parsing, chunking, embedding, indexing, hybrid search, re-ranking, and citation of sources — over knowledge graphs of persons, companies, accounts, transactions, and…