Senior IT Officer, Business Solutions I (AI Solutions Officer Knowledge)

Senior IT Officer Business Solutions I (AI Solutions Officer - Knowledge)

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

TheInformation and Technology Solutions (ITS) Vice Presidential Unit supports theWorld Bank Groups mission by delivering transformative digital solutions tostaff across 150 global locations. Within ITS the Operations Effectivenessunit (ITSEF) part of the Operations & Country Engagement Solutionsdepartment (ITSOE) department leads efforts to enhance operationalefficiency and data-driven decision-making in Banks Operations.

The Knowledge for Operations Program builds AI-driven platforms and productsthat transform operational knowledge into actionable intelligence. By creatingplatforms to curate and tag knowledge applying AI frameworks and agents andintegrating enterprise frameworks the program empowers World Bank staff towork 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 collaborationwith product teams AI Engineers data scientists and businessstakeholders.

TheSenior 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 organizations AI strategy.

Selection Criteria

* Advanced degree (Masters) with 8 years or Bachelors with 10 years in Computer Science Data Science Engineering or related fieldor 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

TechnicalExpertise

- 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.

DesiredQualifications (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.

Reporting& Deliverables

TheSenior 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 organizations AI Governance & Responsible AI frameworks.

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 theWorld BankandIFC including our values and inspiring stories.

Required Experience:

Senior IC