Associate Senior AI Solutions Officer

About the Organization

The World Bank Group is a global partnership dedicated to ending extreme poverty and promoting shared prosperity on a sustainable planet. Operating with 189 member countries and over 120 offices worldwide, it invests in transformative projects by leveraging data, research, and technology to address global development challenges.

Unit Overview

The Information and Technology Solutions (ITS) Vice Presidential Unit empowers the World Bank Group to fulfill its mission by delivering innovative information and technologies to staff across more than 150 locations globally. The Fiduciary Operations (ITSFD) team, part of Operations & Country Engagement Solutions (ITSOE), is focused on modernizing Environmental & Social, Procurement, and Financial Management processes through data, automation, analytics, and artificial intelligence (AI).

ITSFD is implementing an enterprise-scale Agentic AI Platform that employs cloud-native technologies, large language models (LLMs), multi-agent orchestration, advanced analytics, secure API-based integrations, and intelligent workflow automation to support document intelligence, due diligence, risk assessments, decision support, and conversational AI across World Bank operations.

Role Summary

Based in Singapore, the Associate Senior AI Solutions Officer will act as a senior technical expert driving the design, development, implementation, and operationalization of AI-powered business solutions. This role collaborates with diverse teams including business stakeholders, product managers, solution architects, data engineers, and software developers to create innovative AI capabilities that enhance operational efficiency and decision-making aligned with the World Bank’s development objectives.

Primary Responsibilities

• Architect, develop, and deploy AI-driven applications addressing business challenges to improve operational performance.
• Convert business needs into scalable, secure, and production-ready AI software solutions, including prototypes and enterprise implementations utilizing Generative AI, Agentic AI, machine learning, and automation.
• Design AI agents, multi-agent orchestration workflows, conversational assistants, and automated decision-support tools integrated with enterprise systems and processes.
• Implement Retrieval-Augmented Generation (RAG) and knowledge discovery technologies leveraging semantic and vector search, knowledge graphs, and enterprise repositories to facilitate trusted knowledge access.
• Collaborate with data engineering teams to ensure AI-ready data platforms and ensure data quality, governance, security, and compliance for trusted AI applications.
• Integrate AI services within enterprise applications, develop APIs, event-driven integrations, and reusable AI components to support scalable digital platforms.
• Manage AI solution deployments including monitoring, optimization, lifecycle management, and adherence to security, privacy, compliance, and governance standards.
• Promote AI adoption across business units by providing training, guidance on responsible AI use, and partnering with stakeholders to maximize AI’s business impact.
• Lead innovation efforts by evaluating emerging AI technologies, conducting proofs of concept, and advising on AI strategy, architecture, and best practices.

Required Qualifications and Experience

• Master’s degree in Computer Science, Software Engineering, Data Science, AI/ML or related disciplines with 8+ years of experience; or Bachelor’s degree with 10+ years of relevant experience; or equivalent combination of education and experience.
• At least 7 years in software or data engineering, AI development, or solution architecture with proven delivery of AI, automation, or data-centric solutions in enterprise environments.
• Strong proficiency in designing and deploying enterprise AI solutions on cloud platforms such as AWS, Azure, or Google Cloud, including experience with APIs, microservices, event-driven architectures, and scalable secure software engineering.
• Practical experience with Generative AI, Agentic AI, LLMs, prompt engineering, AI agents orchestration, and Retrieval-Augmented Generation applications.
• Expertise in knowledge management technologies including vector and semantic search, knowledge graphs, and secure enterprise content repositories.
• Knowledge of integrating AI with enterprise data ecosystems (data lakes, warehouses) and enhancing data governance, lineage, and quality for AI-readiness.
• Proficiency in Python programming, cloud-native development practices, containerization, serverless architectures, CI/CD pipelines, and API integrations; experience with low-code platforms such as OutSystems is advantageous.
• Understanding of AI operations including MLOps, LLMOps, model lifecycle management, monitoring, observability, security, privacy, and AI governance frameworks.

Preferred Skills and Certifications

• Experience delivering AI solutions in regulated sectors including financial services, risk management, and compliance.
• Familiarity with enterprise AI platforms such as AWS Bedrock, SageMaker, Azure OpenAI, Microsoft Copilot Studio, or similar.
• Knowledge of Knowledge Graphs, Semantic Layers, Digital Twins, and Intelligent Automation technologies.
• Experience with Agile delivery frameworks including SAFe and product operating models.
• Relevant cloud, AI, or solution architecture certifications are a plus.

Key Personal Attributes

• Strong analytical and problem-solving capabilities.
• Ability to balance innovative approaches with the needs for enterprise security, governance, and operational stability.
• Excellent communication skills and stakeholder engagement experience.
• Proven capacity to deliver measurable business benefits through AI technologies.
• Effective collaborator accustomed to working in multidisciplinary and globally distributed teams.

Competency Framework

• Demonstrates client-centric focus by proactively addressing stated and unstated client needs and pursuing impactful results.
• Collaborates effectively across teams and boundaries, encouraging diverse perspectives and inclusive decision making.
• Leads innovation by providing novel insights and adapting to organizational changes aligned with the World Bank’s values.
• Applies and shares knowledge across the organization to enhance client solutions and continuous learning.
• Makes informed decisions by considering broad information, risks, and stakeholder interests in a timely manner.
• Advocates client interests and aligns solutions to meet client needs collaboratively.
• Maintains a learning orientation by staying current with trends and engaging with relevant industry and user communities.

Additional Information

The position is a fixed-term, local recruitment role with a tenure of two years and is based in Singapore. It requires fluency in English and offers the opportunity to contribute significantly to the World Bank’s advancing AI and digital transformation agenda.