Associate Senior AI Solutions Officer

At the World Bank, a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit https://www.worldbank.org/en/who-we-are/ibrd VPU 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 WBG Corporate Solutions Department (ITSCO) is focused on the digital transformation of essential corporate services to ensure WBG operations are seamless, resilient, and future ready. Uniting digitalization roadmaps, experience design, process optimization, application delivery, systems management, and technology modernization across some various products and services within the corporate domain. The department links business ambition with operational excellence—from intuitive employee experiences and precision payroll to data-driven decision making, intelligent automation, and AI enablement. The Corporate Digital Backbone unit creates an autonomous digital backbone for the orchestration of data, transactions, processes, and insights across the diverse corporate portfolio, e.g. application modernization, technology debt reduction, efficient data exchange, advanced analytics, enterprise integration, automated business processes, and agentic-AI. Lead the adoption, design, and delivery of Agentic AI and Autonomous AI solutions that address Corporate business needs. Partner with business stakeholders, Enterprise AI teams, and technology teams to implement AI-enabled business processes, drive operational efficiencies, and accelerate business transformation while ensuring alignment with enterprise governance, security, and responsible AI requirements.

• Routinely leads complex projects and integrates work of other (often multi-disciplinary) professional staff and contributes to strategy, analysis and policy formulation.
• Identifies and evaluates overall systemic issues and analyzes complex issues.
• Collaborates and partners with internal stakeholders on matters of strategic importance for the area of focus, may interact with external stakeholders to support department objectives.
• Provides guidance, coaching, and training to more junior staff within the role area, serving as a subject matter expert resource for other professionals.
• Requires comprehensive and in-depth expertise either in a broad area of specialization or in a narrowly specialized field. Duties and accountabilities: Key Responsibilities: Agentic AI Solution Delivery
• Design and implement AI agents, MCP servers, APIs, knowledge solutions, and workflow orchestrations.
• Integrate AI capabilities into corporate applications and business processes.
• Develop technical blueprints and reusable solution patterns. Business Partnership Transformation
• Identify and prioritize high-value AI opportunities.
• Partner with business stakeholders to drive AI adoption and process optimization.
• Measure and communicate business outcomes and value realization. Solution Implementation Operations
• Lead deployment and operationalization of AI-enabled solutions.
• Monitor solution performance and drive continuous improvement.
• Support issue resolution and operational excellence. Governance, Risk Compliance
• Ensure adherence to enterprise AI governance, security, privacy, compliance, and responsible AI standards.
• Implement appropriate guardrails, monitoring, and human-in-the-loop controls.