AI Solutions Analyst

AI Solutions Analyst Job #: req36831

Organization:

World Bank Sector:

Information Technology Grade:

GE Term Duration:

3 years 0 months

Recruitment Type:

Local Recruitment Location:

Washington, DC,United States Required Language(s): English Preferred Language(s):

Closing Date:

6/5/2026 (MM/DD/YYYY) at 11:59pm UTC Description 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 scale.
• Experiment with AI industry trends and assess feasibility, & viability.
• Leverage modern Agent Harness to safely deploy Agentic AI use cases in production.
• Build foundational expertise across AI, DevSecOps, and platform engineering domains Selection Criteria
• Bachelor's or Master's degree with 2 years of experience or equivalent combination of education and experience (for example, in the IT field: Bachelor's Degree with a minimum of 1 year of related work experience).
• Demonstrated exposure to AI/ML, cloud computing, or DevOps practices, with a clear interest in building scalable, production-ready systems
• Proficiency in at least one programming language (e.g., Python, Node.js, Go or similar), with a solid foundation in software engineering, cloud architecture, and modern development practices (Git, APIs)
• Working knowledge of cloud platforms (Azure, AWS, GCP), including automation, CI/CD pipelines, containerization, and infrastructure-as-code
• Understanding of API design, API Management (APIM), API gateways, and API security, including OAuth 2.0, OpenID Connect (OIDC), and identity solutions such as Azure Entra ID
• Familiarity with AI Gateway concepts, token consumption models, and observability tools for troubleshooting and performance monitoring
• Demonstrated interest and working knowledge in Artificial Intelligence, including Generative AI, Large Language Models (LLMs), machine learning, and Natural Language Processing (NLP)
• Experience or exposure to automation, platform engineering, and scalable system design, with awareness of microservices architecture and deep learning concepts
• Strong analytical, problem-solving, and critical thinking skills, with the ability to quickly learn and adapt in fast-paced technical environments
• Effective communication and collaboration skills, with a curiosity-driven mindset and commitment to continuous learning and innovation

Recommended Certifications:

• Microsoft Azure Fundamentals (AZ-900) or AWS Certified Cloud Practitioner
• Azure AI Fundamentals (AI-900) or equivalent
• Kubernetes or Docker introductory certifications
• Any entry-level certification in

AI Engineering, DevOps or Cloud Engineering WBG Culture Attributes:

1.

Sense of urgency:

Anticipate and quickly respond to the needs of internal and external stakeholders. 2.

Thoughtful risk-taking:

Challenge the status quo and push boundaries to achieve greater impact. 3.

Empowerment and accountability:

Empower yourself and others to act and hold each other accountable for results. World Bank Group Core Competencies The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities. We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Learn more about working at the World Bank and IFC including our values and inspiring stories.