Job Description

Senior IT Officer, Business Solutions I (AI Solutions Officer - Operations) Job #: req34644
Organization: World Bank
Sector: Information Technology
Grade: GG
Term Duration: 2 years 0 months
Recruitment Type: Local Recruitment
Location: Singapore, Washington, DC, Sofia, Bulgaria
Required Language(s): English
Preferred Language(s):
Closing Date: 11/28/2025 (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 120 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
Background & General Description
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.
- Team Leadership: Managing and mentoring a team of AI engineers and data scientists to deliver high-quality AI solutions.
- Research and Innovation: Staying updated with the latest advancements in AI and incorporating innovative techniques into projects.
- Collaboration: Working closely with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Performance Monitoring: Establishing metrics and monitoring the performance of AI models to ensure they meet business objectives.
- Documentation and Reporting: Creating comprehensive documentation and reports to communicate AI project progress and outcomes to stakeholders.
Selection Criteria

• 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.

• 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.

• 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.

• Experienced in implementing retrieval-augmented generation using Azure AI Search / AWS OpenSearch / GCP, and other vector databases.

• Strong grasp of diverse database types (SQL, graph, unstructured) with the ability to design efficient data access patterns tailored for AI workloads.

• Data Pipelines: Hands-on experience building and managing data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools.

• Skilled in Python programming and MLOps, including CI/CD pipelines, model deployment, microservices, and integration with enterprise systems.

• 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.

• Reinforcement Learning: Experience in developing and implementing reinforcement learning algorithms for decision-making and predictive modeling.

• 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 Model Optimization: Skills in optimizing AI models for performance, including techniques like pruning, quantization, and knowledge distillation.

• AI Security: Knowledge of securing AI models and data against adversarial attacks and ensuring data privacy.

• 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.
- AI Model Interpretability: Skills in making AI models (LLMs & SLMs) interpretable and explainable to non-technical stakeholders.
- Edge AI: Proficiency in deploying AI models (SLMs) on edge devices for real-time processing and decision-making.
- Certifications: Azure AI Engineer Associate, Google ML Engineer, SAFe for DevOps / Architects; AI Ethics certification.
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.
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 and , including our values and inspiring stories.

Skills Required