Senior IT Officer, Business Solutions I

Senior IT Officer, Business Solutions I (AI Solutions Officer - Operations)

Job #:

req34643

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

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. 

Required
Job Competencies 

• Deliver 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. 

• 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. Seeks to learn
from more experienced staff to deepen or strengthen their professional
knowledge and helps others to learn. 

• Make Smart
Decisions: Interprets
a wide range of information and pushes to move forward Seeks diversity of
information and inputs, researches possible solutions, and generates
recommended options. Identifies and understands risks and proposes
recommendations. Based on risk analysis, makes decisions in a timely
manner within their own area of responsibility, considering the interests
and concerns of stakeholders. 

• 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.

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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