AI Solutions Analyst

Build a career with impact. Working at the World Bank Group (WBG) provides a unique opportunity to help countries solve their greatest development challenges. As one of the largest sources of funding and knowledge for developing countries, the WBG is a unique partnership of five global institutions dedicated to ending poverty, increasing shared prosperity, and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, the WBG works with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges.

ITS Vice Presidency Context: The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9 v=VTFGffa1Y7w Unit Context: The ITS Data Office is the central entity within the World Bank Group’s Information and Technology Solutions (ITS) department responsible for enabling data, AI, information, and knowledge capabilities across the institution. It comprises four Units focused on platforms tools, product service delivery, enablement and governance. The office plays a pivotal role in advancing the Bank’s digital transformation, supporting business domains with trusted data, information and AI capabilities, and fostering a culture of responsible innovation. The Platforms Tools unit (ITSAI) is responsible for building, integrating, and continuously modernizing the foundational technology infrastructure that powers data, AI, archives, and knowledge services across the World Bank Group. The unit leads the rationalization and simplification of legacy systems, and modernization towards platforms that are scalable, secure, interoperable, and designed for self-service and adoption. The unit plays a critical role in enabling enterprise-wide transformation by delivering data environments, digitization infrastructure, and open knowledge repositories that are AI-ready and aligned with business needs. ITSAI unit is seeking a motivated and high-potential early-career professional to contribute to the design, development, and operation of next-generation AI-enabled platforms and services. The selected candidate will contribute to building AI-driven solutions using foundational models and agentic AI approaches, working across AI Engineering Platform Engineering disciplines to deliver secure, scalable, and impactful AI capabilities that address real-world development challenges. This role is ideal for early-career professionals who are passionate about applying AI to solve meaningful problems and are eager to learn and grow in a fast-paced, mission-driven environment. Duties and accountabilities: • Build AI-powered solutions leveraging hyper-scaler foundational AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI managed AI/ML platforms) • Apply foundation models and agentic AI patterns to solve real-world development challenges across World Bank business domains • Implement sandboxed environments to safely test and evaluate AI agents before production deployment • Ensure agents operate within controlled boundaries, including restricted tool access, data scope, and execution limits • Contribute to building AI agent frameworks, SDKs, and reusable components enabling rapid solution development • Assist in the design, fine-tuning, and evaluation of machine learning models SLMs via MLOps. • Support experimentation workflows for context engineering, model evaluation, and iterative improvements • Contribute to responsible AI practices, including safety, explainability, and governance • Help operationalize AI solutions using CI/CD deployment pipelines and runtime environments • Leverage agent orchestration and agent harness patterns to safely deploy AI use cases in production • Participate in designing APIs and services that expose AI capabilities to business applications • Support observability through AI system monitoring, feedback loops, and performance insights • Work under guidance of senior engineers while progressively building independence and technical depth • Gain exposure to enterprise-scale AI applications and real-world development impact • Support development, testing, and deployment of AI/ML models and platform components. • Assist in building and enhancing internal AI platforms and self-service capabilities • Implement and support monitoring, observability, and operational reliability practices • Collaborate with cross-functional teams and contribute to agile development processes • Enable delivery of self-service production-grade AI/ML solutions through robust engineering practices • Develop Agentic AI Core Foundational guard rails to enable AI at