Associate Senior AI Solutions Officer

Job #: req38014
Organization: World Bank
Sector: Information Technology
Grade: GG
Term Duration:  2 years 0 months
Recruitment Type: Local Recruitment
Location: Singapore,Singapore
Required Language(s): English
Preferred Language(s):
Closing Date: 8/24/2026 (MM/DD/YYYY) at 11:59pm UTC

Description

Do you want to build a career that is truly worthwhile? The World Bank Group is a unique global partnership of five institutions driven by a bold vision to create a world free of poverty on a livable planet. As one of the largest sources of funding and knowledge for developing countries, we help solve the world’s greatest development challenges. When you join the World Bank Group, you become part of a dynamic, diverse organization with 189 member countries and more than 120 offices worldwide. We work with public and private sector partners, invest in groundbreaking projects, and use data, research, and technology to bring tangible and transformative change around the globe. 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
Department Context
The Information and Technology Solutions (ITS) Vice Presidential Unit supports the World Bank Group’s mission by delivering transformative digital solutions across more than 150 country offices and global locations. Within ITS, the Fiduciary Operations (ITSFD) team, part of Operations & Country Engagement Solutions (ITSOE), is leading the modernization of Environmental & Social (E&S), Procurement, and Financial Management business processes through data, automation, analytics, and Artificial Intelligence (AI).
As part of this transformation, ITSFD is implementing an enterprise-scale Agentic AI Platform that leverages cloud-native technologies, Large Language Models (LLMs), multi-agent orchestration, enterprise knowledge retrieval, advanced analytics, intelligent workflow automation, and secure API-driven integration services. The platform is designed to support document intelligence, due diligence, risk assessments, decision support, workflow automation, and conversational experiences across World Bank operations.
ITSFD is seeking an Senior AI Solutions Officer to serve as a senior technical subject matter expert responsible for designing, developing, implementing, and operationalizing AI-powered business solutions. The selected candidate will collaborate closely with business stakeholders, product managers, solution architects, data engineers, and software engineering teams to deliver innovative AI capabilities that improve operational effectiveness, enhance decision-making, and support World Bank development outcomes.
Based in Singapore, the position provides strategic support across global teams while contributing to the World Bank Group’s rapidly expanding AI and digital transformation agenda.
Key Responsibilities
AI Solution Design & Delivery
• Design, build, and deploy AI-powered solutions that address business needs and improve operational outcomes.

• Translate business requirements into scalable, secure, and production-ready AI applications.

• Develop prototypes, pilots, and enterprise-grade solutions using Generative AI, Agentic AI, machine learning, and automation technologies.

• Deliver AI solutions supporting due diligence, risk management, knowledge management, and operational workflows.

Agentic AI & Intelligent Automation

• Design and implement AI agents, multi-agent workflows, and intelligent automation solutions.

• Build conversational assistants, decision-support tools, document processing solutions, and workflow automation capabilities.

• Integrate AI agents with enterprise systems, tools, and business processes.

• Ensure Responsible AI principles, governance controls, and human oversight are incorporated into all solutions.
Enterprise Knowledge & RAG Solutions
• Build Retrieval-Augmented Generation (RAG) and knowledge discovery solutions leveraging enterprise data and content.

• Implement semantic search, vector search, knowledge graphs, and enterprise knowledge repositories.

• Enable trusted, secure, and efficient access to organizational knowledge.
Data & AI Enablement
• Partner with data engineering teams to ensure data platforms are AI-ready.

• Integrate AI solutions with enterprise data platforms, lakes, warehouses, and semantic models.

• Promote data quality, governance, lineage, security, and compliance practices that support trusted AI.
Platform Integration & Engineering
• Integrate AI capabilities into enterprise applications, workflows, and digital platforms.

• Develop APIs, event-driven integrations, and reusable AI services.

• Collaborate with software, platform, and solution engineering teams to deliver scalable enterprise solutions.
AI Operations, Security & Governance
• Support the deployment, monitoring, optimization, and lifecycle management of AI solutions.

• Implement security, privacy, compliance, and AI governance requirements.

• Establish observability, performance monitoring, and operational support processes for AI services.
Adoption & Stakeholder Engagement
• Drive adoption of AI capabilities across business and operational teams.

• Provide training, guidance, and best practices for responsible AI use.

• Partner with stakeholders to identify opportunities and maximize business value from AI investments.
Innovation & Technical Leadership
• Evaluate emerging AI technologies and identify opportunities to improve business outcomes.

• Lead experimentation, proof-of-concepts, and innovation initiatives.

• Serve as a trusted technical advisor on AI strategy, architecture, and solution development.

• Contribute to AI standards, best practices, and enterprise AI capabilities.

Selection Criteria

Education & Experience
• Master’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field, plus at least 8 years of relevant professional experience; or Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field, plus at least 10 years of relevant professional experience; or an equivalent combination of education and relevant professional experience.

• 7+ years of experience in software engineering, data engineering, AI solution development, or solution architecture.

• Proven experience delivering AI, automation, or data-driven solutions in enterprise environments.

• Experience working directly with business stakeholders to translate requirements into technology solutions.

AI Solution Architecture & Cloud Platforms
• Experience designing and implementing enterprise solutions on AWS, Azure, or Google Cloud.

• Strong understanding of APIs, microservices, event-driven architectures, and system integration patterns.

• Experience building scalable, secure, and production-ready applications and platforms.
Generative AI & Agentic AI
• Hands-on experience developing and deploying Generative AI and Agentic AI solutions.

• Practical knowledge of LLMs, prompt engineering, AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG).

• Experience delivering AI assistants, knowledge search solutions, document intelligence, workflow automation, or decision-support applications.

• Understanding of Responsible AI principles and AI governance practices.

Knowledge Management & Enterprise Search
• Experience building knowledge retrieval and enterprise search solutions using vector search, semantic search, or RAG architectures.

• Familiarity with enterprise content repositories, knowledge graphs, or document management platforms.

• Ability to design solutions that enable trusted and secure access to organizational knowledge.
Data & AI Engineering
• Experience working with enterprise data platforms, data lakes, warehouses, and analytics environments.

• Familiarity with Databricks, Microsoft Fabric, Azure Data Lake, AWS data services, or similar platforms.

• Understanding of data governance, metadata management, data quality, and AI-ready data architectures.
Software Engineering & Platform Integration
• Strong programming skills in Python and modern software engineering practices.

• Experience integrating AI services with enterprise applications, APIs, and digital platforms.

• Familiarity with containerization, serverless technologies, CI/CD pipelines, and cloud-native development approaches.

• Experience with low-code platforms such as OutSystems is an advantage.

AI Operations, Security & Governance
• Understanding of MLOps, LLMOps, monitoring, observability, and model lifecycle management.

• Experience implementing security, privacy, and compliance controls within enterprise technology environments.

• Knowledge of AI governance, explainability, auditability, and responsible AI practices.
Preferred Qualifications
• Experience delivering AI solutions in financial services, development organizations, risk management, compliance, or regulated environments.

• Experience with AWS Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, or similar enterprise AI platforms.

• Knowledge of Knowledge Graphs, Semantic Layers, Digital Twins, or Intelligent Automation platforms.

• Familiarity with Agile, SAFe, Product Operating Models, or enterprise delivery frameworks.

• Relevant cloud, AI, or architecture certifications are desirable.
Key Attributes
• Strong problem-solving and analytical skills.

• Ability to balance innovation with enterprise security, governance, and operational requirements.

• Effective communication and stakeholder management skills.

• Demonstrated ability to deliver business value through AI solutions.

• Comfortable working in multidisciplinary and globally distributed teams.
Required Job Competencies
• Delivery 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.
• 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.
• 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.
• 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. Seeking to learn from more experienced staff to deepen or strengthen their professional knowledge and helps others to learn.
• Make Smart Decisions: Interprets a broad range of information and takes action to move work forward. Seeks diverse inputs, researches possible solutions, and develops recommended options. Identifies and understands risks and proposes recommendations. Based on risk analysis, makes timely decisions within their area of responsibility while considering stakeholder interests and concerns.
• 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. 
• 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.
• 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.
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.

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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Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.