Enterprise AI Engineer Associate AI Solutions Officer - World Bank Group

Enterprise AI Engineer (Associate AI Solutions Officer)

Job #:

req37873

Organization:

World Bank

Sector:

Information Technology

Grade:

GF

Term Duration:

3 years 0 months

Recruitment Type:

Local Recruitment

Location:

Washington, DC,United States

Required Language(s):

English

Preferred Language(s):

Closing Date:

8/10/2026 (MM/DD/YYYY) at 11:59pm UTC

Description

Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work 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. For more information, visit www.worldbank.org

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:

• Design, build, and maintain core engineering components of the Enterprise Agentic Framework and Intelligence Platform, including its model gateway, enterprise agent hub, and accelerator capabilities.
• Lead development of atomic agents, agent orchestration patterns, and the MCP hub, ensuring interoperability across the enterprise agentic backbone.
• Own the engineering of agent harnesses across the platform, covering orchestration (planning, state management, multi-agent coordination, human-in-the-loop controls), memory (persistent session and context management across long-running tasks), observability (structured tracing of tool calls, model responses, and decision branches, with OpenTelemetry-compatible instrumentation), and evaluation (offline eval suites, production trace scoring, and eval gates integrated into CI/CD to catch regressions before release).
• Establish reference architectures, technical blueprints, and reusable engineering patterns (RAG, retrieval strategies, metadata-aware search, evals, multi-document synthesis) that accelerate AI adoption across business teams.
• Drive engineering quality across the platform's tool registry and the broader tools and accelerators portfolio, ensuring consistency, scalability, and performance.