The World Bank Group is looking for a Senior AI Solutions Officer to design and deploy ethical, secure Agentic AI applications that enhance operational efficiency and data-driven decision-making. This role is pivotal in integrating advanced AI/ML technologies into the project workflows of the World Bank's Operations. You will join the AI Operations Team within a global institution dedicated to ending extreme poverty, increasing shared prosperity, and promoting sustainable development.

What You'll Do

Lead the development and implementation of AI Agents and applications to solve complex business problems in generative AI, insights, document review, and chatbots for Operations and Knowledge domains.
Manage and mentor a team of AI engineers and data scientists to deliver high-quality AI solutions.
Stay updated with the latest advancements in AI and incorporate innovative techniques into projects.
Work closely with cross-functional teams to integrate AI solutions into existing systems and workflows.
Establish metrics and monitor the performance of AI models to ensure they meet business objectives.
Create comprehensive documentation and reports to communicate AI project progress and outcomes to stakeholders.

What We're Looking For

An advanced degree (Master’s) with 8+ years of experience, or a Bachelor’s with 10+ years, in Computer Science, Data Science, Engineering, or a related field; or an equivalent blend of education and experience.
Expertise in Generative AI, NLP/LLMs, and machine learning, with hands-on experience building end-to-end Agentic AI solutions using cloud platforms like Azure, AWS, or GCP.
Experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, GCP, or other vector databases.
Strong grasp of diverse database types (SQL, graph, unstructured) with the ability to design efficient data access patterns for AI workloads.
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.
Proficiency in NLP techniques, including sentiment analysis and named entity recognition, using libraries like spaCy, NLTK, or Hugging Face Transformers.
Experience in developing and implementing reinforcement learning algorithms for decision-making and predictive modeling.
Experience with AI infrastructure tools such as Kubernetes and Docker on cloud platforms for deploying and scaling AI solutions.
Skills in optimizing AI models for performance, including techniques like pruning, quantization, and knowledge distillation.
Knowledge of securing AI models and data against adversarial attacks and ensuring data privacy.
Understanding of ethical considerations in AI, including bias detection, fairness, and transparency in AI models.

Nice to Have

Knowledge of Agentic frameworks like LangGraph or CrewAI is a big plus.

Technical Stack

Languages & Core AI: Python, Generative AI, NLP/LLMs
Cloud Platforms: Azure, AWS, GCP
Search & Data: Azure AI Search, AWS OpenSearch, Vector databases, SQL, Graph databases, Unstructured databases
Data Engineering: Databricks, Azure Data Factory
DevOps & Infrastructure: MLOps, CI/CD, Microservices, Kubernetes, Docker
NLP Libraries: spaCy, NLTK, Hugging Face Transformers
Advanced Techniques: Reinforcement Learning

Team & Environment

You will be part of the AI Operations Team within the Operations Effectiveness unit (ITSEF), part of the Operations & Country Engagement Solutions department (ITSOE) in the Information and Technology Solutions (ITS) Vice Presidential Unit at the World Bank Group.