The ITD Content Division is seeking a highly motivated and skilled intern to join our team in-person at the IMF Washington DC HQ offices for a 3-month internship focused on enterprise search technologies with generative AI capabilities. The intern will conduct research, develop proof of concept, prototype, and compare GenAI-driven search solutions to recommend the most effective path for enterprise search strategy. The successful candidate will be participating in and contributing as a member of the Search project team that provides production sustain services conducting on-going search performance tuning and optimization while incorporating user feedback for enhancements. One of the research projects is to explore options and opportunities for improving the search functionality of the IMF.ORG web site. It is a critical digital communication vehicle of the Fund attracting over 25 million unique visitors per year and a gateway to the Fund’s research, analysis, policy advice, and data in multiple languages.  Improved search is essential for transforming a public-facing website into an efficient and user-centric platform.  Advanced search tools also offer valuable analytics to benefit content owners and stewards in identifying knowledge gaps, optimizing content based on user intent, and building public trust through transparent and easy access to information. 

Key duties and responsibilities 

• Technology Research: Conduct in-depth analysis of GenAI capabilities in enterprise search platforms, including Retrieval-Augmented Generation (RAG) and relevance intelligence. 

• Prototyping & PoC Development: Develop functional proofs-of-concept using platform services, APIs, and SDKs from a number of leading technologies. 

• Comparative Analysis: Evaluate options by documenting the advantages and disadvantages of each platform, focusing on quality of GenAI search results, performance, scalability, security, and ease of integration. 

• Lessons Learned Documentation: Maintain an ongoing documentation of key learnings, challenges, successes, and findings throughout the internship, regularly updating and reviewing the living document to capture project insights. 

Skills: 

• Strong background in computer science, AI, or a related field. 

• Basic understanding of Microsoft Azure and Google Cloud Platform services 

• Strong knowledge of Search technology; and prior experience working with commercial Search products are preferred. 

• Excellent research, analytical, and problem-solving skills. 

• Strong written and verbal communication skills. 

• Ability to work independently and collaboratively in a fast-paced environment. 

Qualifications

To compete for an IT internship, at a minimum you must:

• Be enrolled in a Master’s degree program in a relevant field, such as information technology (computer science, information systems management), data science, or business administration.

• Be in student status at the time of the internship. Only those students who will return to school upon completion of their internship assignments would be considered.

• Be in good academic standing.

• Have an excellent command of English (both written and oral).

• Show an interest in, and aptitude for working in a multicultural environment.

Duration of internship

• Internship assignments are up to 3 months.

Compensation and Benefits

• competitive salary.

• round-trip economy class air travel to Washington, D.C. from their duty station (university).

• short-term visa may be provided for non-US and non-resident eligible candidates. 

• short-term limited medical insurance coverage per the eligibility guidelines

To be considered, your application must be submitted via Workday and include: 

• Fully completed application form.

• Responses to all questions.

• A personal CV/Resume, as an attachment.

• A recent transcript for the university program in which you are currently registered (showing your current status and recent grades).

Selection Process:

After submitting your application, you will receive a system-generated acknowledgement. Only candidates who are identified for further consideration will be contacted for next steps. Incomplete applications will not be considered. Interns are selected on a competitive basis. Candidates are short-listed based on their qualifications, their field of specialization, their academic performance record, and their interest.