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:
The Platforms & Tools Unit 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.
Duties and accountabilities:
AI Platform and Agentic Solution Engineering
• 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.
Center of Excellence and Enablement
• Act as a technical anchor within the AI COE, providing hands-on expertise to Line of Business teams building on enterprise AI platforms.
• Develop templates, internal libraries, and API/client generation approaches that raise developer productivity and reduce duplication of effort.
• Lead technical enablement through workshops, architecture walkthroughs, and knowledge-sharing sessions on agent patterns, modular architecture, and
AI-assisted development workflows.
• Support the "make the governed path the easiest path" platform philosophy by ensuring self-service AI capabilities are well-documented, discoverable, and easy to adopt correctly.
Responsible AI, Governance and Standards
• Ensure all agentic and AI tooling solutions align with enterprise standards for security, data classification, and responsible AI practice.
• Partner with AI governance and data governance functions to embed guardrails, evaluation frameworks, and quality checks into agent and accelerator design.
• Work closely with the Enterprise Architecture and Office of Information Security teams to ensure all platform and agentic solutions are enterprise-aligned and secure by design.
• Contribute technical input to platform accreditation and security review processes for the Enterprise Agentic Framework and Intelligence Platform and related agentic components.
Technical Leadership and Delivery Oversight
• Provide technical oversight and quality assurance to delivery partners, contractors, and vendor teams building on the agentic platform, ensuring alignment with enterprise architecture and standards.
• Partner closely with Product Owners across Data and AI Platforms, Data and Analytical Engineering, and Tools and Accelerators to translate product roadmaps into sound technical designs.
• Stay current with emerging developments in agentic AI, MCP, multimodal systems, and enterprise AI engineering, proactively proposing improvements to the platform's technical direction.
Selection Criteria
Educational Qualifications and Experience:
• Education: Typically requires a Master's degree with 5 years of experience or a Bachelors Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
• Role Specific Experience: 3+ years of experience in AI engineering and/or machine learning at enterprise scale
Certification Requirements:
• SAFe or other relevant Agile certifications.
• Industry-recognized certifications in AI Engineering, Platform Architecture, Cloud Technologies, or related disciplines.
Required Skills/Abilities:
• Demonstrated expertise in AI/ML Engineering, including the design, development, and optimization of scalable agentic AI systems, LLM-based applications, and enterprise AI platforms
• Experience designing and implementing agent harnesses, including orchestration, memory management, observability, and evaluation frameworks to support production-grade, enterprise-scale agentic solutions
• Advanced experience with Retrieval-Augmented Generation (RAG), vector search, and metadata-aware retrieval patterns to support AI, enterprise search, and knowledge discovery use cases
• Hands-on experience with Model Context Protocol (MCP), agent-to-agent (A2A) communication patterns, and tool registry design to support enterprise-wide agentic connectivity
• Familiarity with cloud AI platforms (Azure, AWS, or GCP) and modern data/AI architecture, including model gateways, lakehouse platforms, and cloud-native AI services
• Strong knowledge of reference architecture design, reusable engineering frameworks, and reusable components, including internal libraries and API/client generation approaches
• Proven experience applying DevOps and DevSecOps principles and practices, including automation, deployment, monitoring, and continuous improvement of AI platforms and agentic tools
• Strong understanding of workflow orchestration and multi-agent coordination tools to support complex, long-running agentic processes
• Experience managing and supporting the Product Development Life Cycle (PDLC), from requirements gathering and solution design through deployment and operational support
• Demonstrated ability to embed responsible AI, governance, and security practices into engineering design, in partnership with Enterprise Architecture and Office of Information Security teams
• Strong business acumen with the ability to understand organizational priorities and translate business requirements into effective, scalable technical solutions
• Experience working within Agile environments, including the Scaled Agile Framework (SAFe), and collaborating effectively across cross-functional teams
• Excellent stakeholder management, communication, and influencing skills, with the ability to build consensus and drive outcomes across technical and non-technical audiences
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.