Job Description

Senior IT Officer, Business Solutions I (AI Solutions Officer - Knowledge) Job #: req34645
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 Knowledge for Operations Program builds AI-driven platforms and products that transform operational knowledge into actionable intelligence. By creating platforms to curate and tag knowledge, applying AI frameworks and agents, and integrating enterprise frameworks, the program empowers World Bank staff to work smarter, faster, and with greater impact.
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.
The Senior AI Solutions Engineer will:
- Agentic AI Application Development: Lead the design and implementation of AI agents and applications to solve complex business problems in the areas of autonomous agents, generative AI, AI Insights, document review, and chatbots for knowledge domains.
- Team Leadership: Manage and mentor a team of AI engineers and data scientists, ensuring delivery of high-quality AI solutions.
- Research & Innovation: Stay abreast of the latest AI/ML advancements, incorporating innovative techniques (e.g., retrieval-augmented generation, agentic frameworks, reinforcement learning) into enterprise products and to support sector specific solutions
- Collaboration: Work closely with product managers, solution architects, and cross-functional teams to integrate AI solutions into enterprise systems and workflows.
- Performance Monitoring: Establish success metrics, continuously monitor AI models, and optimize for accuracy, efficiency, and reliability.
- Documentation & Reporting: Produce architectural blueprints, technical documentation, and progress reports for internal and external stakeholders.
- AI Governance & Security: Ensure solutions meet enterprise standards for data privacy, ethics, and responsible AI use.
- Thought Leadership & Advocacy: Act as a thought leader on AI applications by publishing best practices, contributing to internal and external forums, and influencing the organization's AI strategy.
Selection Criteria

• Advanced degree (Master's) with 8+ years, or Bachelor's with 10+ years, in Computer Science, Data Science, Engineering, or related field-or equivalent combination of education and experience.

• Track record of integrating enterprise systems (knowledge repositories, workflow tools) with AI agents and applications to support sectoral operations.

• Proven ability to design end-to-end AI solution architectures and develop technical roadmaps, aligning emerging technologies (LLMs, RAG, knowledge graphs, multi-agent systems) with enterprise standards and long-term sectoral priorities.

• Expertise in designing and implementing data pipelines for structured and unstructured data ingestion, enabling seamless integration, processing, and utilization of diverse content sources to build scalable, AI-driven applications

Technical Expertise
- AI Agents: Experience with frameworks like LangGraph, CrewAI, or similar; demonstrable expertise in building autonomous multi-step AI agents.
- Generative AI & NLP: Expert-level knowledge of LLMs, generative models, and NLP (e.g., Hugging Face, spaCy, NLTK).
- RAG & Search: Experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, GCP Vertex AI, and vector DBs (e.g., Pinecone, Weaviate). Implement feedback loops to improve retrieval quality (click/usage signals, human-in-the-loop labeling, relevance tuning).
- Data Engineering: Skilled in building pipelines with Databricks, Azure Data Factory, or similar.
- Programming & MLOps: Strong Python skills; experience in CI/CD, containerization (Docker, Kubernetes), and microservices deployment.
- AI Infrastructure: Cloud deployment expertise (Azure, AWS, GCP); scaling and monitoring AI services.
- Reinforcement Learning: Practical experience in RL for decision-making and predictive modeling.
- Experimentation & Evaluation - Test and evaluate new LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation.
- Guardrail Development - Develop and engineer the implement safeguards to ensure AI responses are accurate, secure, and aligned with ethical guidelines.
- Responsible for observability AI Workloads: Prompt/response stores, evaluation harnesses, and observability products (e.g. LangSmith, Kibana) to monitor hallucinations, guardrail triggers, and RAG quality.
- Optimization & Security: Experience with model pruning, quantization, knowledge distillation, and AI security (adversarial defense, privacy).
- AI Ethics & Fairness: Familiarity with bias detection, explainability, and fairness frameworks. Implement guardrails and policy enforcement (content filters, safety classifiers, red teaming, jailbreak prevention)
- Responsible for prompt design frameworks, agent traceability, user personalization, and feedback- loop design.
Desired Qualifications (Strong Plus)
- Experience with edge AI (SLMs on devices).
- Demonstrated expertise in AI interpretability and explainability.
- Relevant certifications: Azure AI Engineer Associate, Google ML Engineer, SAFe for DevOps/Architects, AI Ethics certifications.
Required Job Competencies
- Deliver Results for Clients - Anticipates and addresses client needs, drives solutions with measurable impact.
- Collaborate Within Teams and Across Boundaries - Actively engages across teams, navigates diverse perspectives, resolves conflicts constructively.
- Lead and Innovate - Introduces new ideas, adapts approaches to solve complex problems, balances technical vision with pragmatic delivery.
- Create, Apply, and Share Knowledge - Embeds knowledge-sharing practices, leverages expertise across the WBG, mentors peers.
- Make Smart Decisions - Balances innovation with risk management, bases recommendations on evidence and analysis.
- Client Understanding & Advising - Advocates for client perspectives, ensures solutions are aligned with business value.
- Learning Orientation - Keeps pace with AI/ML trends, experiments with new methods, applies lessons learned.
- Broad Business Thinking - Connects technical architecture with strategic business goals, anticipates long-term implications of design choices.
Reporting & Deliverables
The Senior AI Solutions Engineer is expected to:
- Work in close collaboration with the Product Manager and team to deliver business priorities
- Deliver architecture blueprints, technical documentation, and deployment pipelines.
- Lead the delivery of enterprise-ready AI solutions within the team
- Mentor staff and strengthen internal AI engineering capability.
- Contribute to the organization's AI Governance & Responsible AI frameworks.
Diversity & Inclusion
We are an equal opportunity and inclusive employer with a dedicated and committed workforce. We do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
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