Senior AI Solutions Officer (Operations)
| Job #: | req35926 |
| Organization: | World Bank |
| Sector: | Information Technology |
| Grade: | GG |
| Term Duration: | 2 years 0 months |
| Recruitment Type: | Local Recruitment |
| Location: | Singapore |
| Required Language(s): | English |
| Preferred Language(s): | |
| Closing Date: | 3/25/2026 (MM/DD/YYYY) at 11:59pm UTC |
Description
• Team Leadership: Managing and mentoring a team of AI engineers and data scientists to deliver high-quality AI solutions. • Collaboration: Working closely with cross-functional teams to integrate AI solutions into existing systems and workflows. • Documentation and Reporting: Creating comprehensive documentation and reports to communicate AI project progress and outcomes to stakeholders. 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 Information and Technology Solutions (ITS) Vice Presidential Unit supports the World Bank Group’s mission by delivering transformative digital solutions to staff across 150+ global locations. Within ITS, the Operations Effectiveness unit (ITSEF), part of the Operations & Country Engagement Solutions department (ITSOE) department, leads efforts to enhance operational efficiency and data-driven decision-making in Bank’s Operations. The AI Operations Team within ITSEF focuses on integrating advanced AI/ML technologies into project workflows to improve project task team productivity, automate processes, and strengthen risk management. Key solution areas include Generative AI, Agents, Chatbots, Document Review, and Insights & Classification. To advance this vision, ITSEF is hiring a Senior AI Solutions Engineer to design and deploy ethical, secure Agentic AI applications in collaboration with product teams, AI Engineers, data scientists, and business stakeholders. Key Responsibilities • Agentic AI application Development: Leading the development and implementation of AI Agents & applications to solve complex business problems in the areas of generative AI, AI Insights, Document Review & Chatbots for the Operations and Knowledge domains. • Research and Innovation: Staying updated with the latest advancements in AI and incorporating innovative techniques into projects. • Performance Monitoring: Establishing metrics and monitoring the performance of AI models to ensure they meet business objectives.
Selection Criteria
• AI Agents: Build AI Agents and applications in generative AI, AI Insights, Document Review, and chatbots. Knowledge of Agentic frameworks like LangGraph / CrewAI is a big plus. • Experienced in implementing retrieval-augmented generation using Azure AI Search / AWS OpenSearch / GCP, and other vector databases. • Data Pipelines: Hands-on experience building and managing data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools. • Natural Language Processing (NLP): Proficiency in NLP techniques, including sentiment analysis, named entity recognition, and machine translation using libraries like spaCy, NLTK, or Hugging Face Transformers. • AI Infrastructure: Experience with AI infrastructure tools such as Kubernetes, Docker, and cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling AI solutions. • AI Security: Knowledge of securing AI models and data against adversarial attacks and ensuring data privacy. • AI Model Interpretability: Skills in making AI models (LLMs & SLMs) interpretable and explainable to non-technical stakeholders. • Certifications: Azure AI Engineer Associate, Google ML Engineer, SAFe for DevOps / Architects; AI Ethics certification. • Collaborate Within Teams and Across Boundaries: Collaborates across boundaries, gives own perspective and willingly receives diverse perspectives Appropriately involves others in decision making and communicates with key stakeholders. Approaches conflicts as common problems to be solved. Actively seeks and considers diverse ideas and approaches displaying a sense of mutuality and respect. • Create, Apply and Share Knowledge: Applies knowledge across WBG to strengthen solutions for internal and/or external clients. Leverages department’s expertise and body of knowledge across WBG to strengthen internal and/or external client solutions. Seeks to learn from more experienced staff to deepen or strengthen their professional knowledge and helps others to learn. • Client Understanding and Advising: Looks at issues from the client’s perspective and advocates for clients within own area as well as urges others to focus on meeting client needs. Works with others across the VPU to define client needs and develop the best approach to meet client needs. • Broad Business Thinking: Maintains an in-depth understanding of the long-term implications of decisions both for related areas within the VPU and the client’s business. Involves the key players in identifying operating needs, issues and immediate solutions. Business Process Knowledge: Describes and documents critical cross-functional business process flows. • Advanced degree (Master’s) with 8+ years of experience, or Bachelor’s with 10+ years, in Computer Science, Data Science, Engineering, or related field; or equivalent blend of education and experience. • Expert in Generative AI, NLP/LLMs, and machine learning, with hands-on experience in building end-to-end Agentic AI solutions using cloud platforms like Azure, AWS, GCP. • Strong grasp of diverse database types (SQL, graph, unstructured) with the ability to design efficient data access patterns tailored for AI workloads. • Skilled in Python programming and MLOps, including CI/CD pipelines, model deployment, microservices, and integration with enterprise systems. • Reinforcement Learning: Experience in developing and implementing reinforcement learning algorithms for decision-making and predictive modeling. • AI Model Optimization: Skills in optimizing AI models for performance, including techniques like pruning, quantization, and knowledge distillation.• AI Ethics and Fairness: Understanding of ethical considerations in AI, including bias detection, fairness, and transparency in AI models. Desired Qualifications (Strong Plus) • Advanced Machine Learning: Expertise in developing and deploying machine learning models using advanced algorithms and techniques. • Edge AI: Proficiency in deploying AI models (SLMs) on edge devices for real-time processing and decision-making. Required Job Competencies • Deliver Results for Clients: Proactively addresses clients’ stated and unstated needs Adds value by constantly looking for a better way to get more impactful results; sets challenging stretch goals for oneself. Immerses oneself in client experiences and perspective by asking probing questions to understand unmet needs. • Lead and Innovate: Develops innovative solutions. Contributes new insights to understand situations and develops solutions to resolve complex problems. Adapts as circumstances require and manages impact of own behavior on others in context of WBG’s values and mission. Identifies and pursues innovative approaches to resolve issues. • Make Smart Decisions: Interprets a wide range of information and pushes to move forward Seeks diversity of information and inputs, researches possible solutions, and generates recommended options. Identifies and understands risks and proposes recommendations. Based on risk analysis, makes decisions in a timely manner within their own area of responsibility, considering the interests and concerns of stakeholders. • Learning Orientation: Stays abreast of new trends and developments in own specialty area as well as what is occurring in the broader industry. Experiments with new approaches and alters normal procedures. Tracks developments in the field through readily available sources and by maintaining active involvement with relevant industry, user and vendor associations.
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.
