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AI Solutions Analyst - req

Job in Washington, District of Columbia, 20022, USA
Listing for: The World Bank
Full Time position
Listed on 2026-03-13
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI Solutions Analyst - req35882

Closing Date

3/20/2026 (MM/DD/YYYY) at 11:59pm UTC

AI Solutions Analyst

Job #: req
35882
Organization:
World Bank
Sector:
Information Technology
Grade: GE
Term Duration: 3 years 0 months
Recruitment Type:
Local Recruitment

Location:

Washington, DC, United States
Required Language(s):
English

ITS Vice Presidency Context

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 130 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 (Use the "Apply for this Job" box below)..org

Unit Context

The ITS Data Office is the central entity within the World Bank Group’s Information and Technology Solutions (ITS) department responsible for enabling data, AI, information, and knowledge capabilities across the institution. It comprises four Units focused on platforms & tools, product & service delivery, enablement and governance. The office plays a pivotal role in advancing the Bank’s digital transformation, supporting business domains with trusted data, information and AI capabilities, and fostering a culture of responsible innovation.

The Platforms & Tools unit is responsible for building, integrating, and continuously modernizing the foundational technology infrastructure that powers data, AI, archives, and knowledge services across the World Bank Group. The unit leads the rationalization and simplification of legacy systems, and modernization towards platforms that are scalable, secure, interoperable, and designed for self-service and adoption. The unit plays a critical role in enabling enterprise-wide transformation by delivering data environments, digitization infrastructure, and open knowledge repositories that are AI-ready and aligned with business needs.

Duties

And Accountabilities Role Purpose

The AI Solutions Analyst is responsible for supporting the organization’s research, development, and implementation of advanced Artificial Intelligence (AI) solutions to meet business needs. With guidance, this role identifies opportunities for AI technology application, optimizes existing models, and integrates AI technologies into current workflows to enhance operational efficiency and effectiveness. The AI Solutions Analyst also supports business stakeholders with applying AI tools to drive continuous improvement.

Key Responsibilities AI Solution Development & Architecture
  • Lead the design, development, and deployment of AI/ML solutions within enterprise AI platform tools and accelerators
  • Design, develop, and deploy AI agents to automate workflows and enhance operational efficiency
  • Develop and optimize machine learning models, including LLMs, RAG architectures, and conversational AI systems
  • Implement and fine-tune models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI
  • Develop end-to-end AI solutions from conception through deployment and monitoring
  • Design solutions that balance performance, cost, and scalability
  • Contribute to the development of reusable components, frameworks, and templates that accelerate AI solution delivery
Data Integration & Pipeline Engineering
  • Build and maintain data pipelines for model training, evaluation, and inference
  • Integrate disparate data sources into unified systems to enable comprehensive AI solutions
  • Design and implement data pipelines optimized for AI/ML workloads
  • Leverage AI techniques for data enrichment, quality improvement, and automated preprocessing
  • Implement intelligent data validation, anomaly detection, and automated error handling
Standards & Best Practices
  • Establish and document best practices for AI development, deployment, and maintenance
  • Drive and enhance the use of AI-assisted software development tools…
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