Senior IT Officer, Business Solutions I (AI Solutions Officer - Operations) chez World Bank Group
World Bank Group · Washington, États-Unis d'Amérique · Hybrid
- Professional
 - Bureau à Washington
 
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.  - 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. 
Key
Responsibilities 
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.  - 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.
Desired
Qualifications (Strong Plus) 
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.
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