WBG Young Professional

Overview

The World Bank Group's Young Professionals Program (YPP) offers exceptional professionals the opportunity to apply their specialized technical expertise and contribute to solutions for pressing development challenges. This role focuses on cloud platform engineering and emerging AI technologies within the World Bank Group.

Key Responsibilities

• Support research, analysis, and documentation on emerging technologies, including Agentic AI, AI-assisted coding, cloud platforms, integration services, observability tools, and automation platforms.
• Assist senior architects and platform leads in reviewing cloud platform patterns, reference architectures, reusable templates, and platform-as-a-product operating model documentation.
• Contribute to prototyping and evaluating agentic AI and AI-assisted coding tools, including proof-of-concept agents, agent orchestration platforms, AI coding assistants, and related enablement use cases.
• Support secure AI enablement activities by helping document guardrails, usage patterns, testing observations, and considerations related to security, compliance, auditability, and cost transparency.
• Assist with Cloud FinOps activities by preparing analysis, meeting notes, knowledge-sharing material, follow-up actions, and documentation that supports cost awareness and sustainable cloud consumption.
• Support DevEx and FinOps Community of Practice activities, including session preparation, coordination support, knowledge capture, stakeholder follow-up, and maintaining communication materials.
• Help collect, organize, and summarize feedback from platform users, developers, architects, and stakeholders to improve cloud platforms, AI tools, automation patterns, and developer experience.
• Support testing, validation, and documentation of cloud platforms, observability capabilities, integration tools, automation workflows, and AI-enabled platform services.
• Prepare presentations, reports, briefing notes, and documentation for leadership updates, governance forums, architecture discussions, and stakeholder engagements.
• Assist in documenting integration and observability patterns across cloud services, identity platforms, DevSecOps tooling, monitoring services, and automation frameworks.
• Participate in workshops, design reviews, working sessions, and stakeholder discussions by capturing decisions, open issues, action items, and follow-up materials.
• Work collaboratively with product managers, platform teams, architects, security teams, FinOps stakeholders, and external partners to support enterprise cloud, AI, and automation initiatives.

Required Experience

• 2–6 years of relevant professional experience
• Demonstrated experience defining and governing enterprise-scale multi-cloud reference architectures spanning: AWS, Azure, OCI, GCP; Hybrid connectivity and on-prem integrations ; SaaS and PaaS modernization patterns
• Experience operating at enterprise scale, beyond individual application or project architecture
• Foundational understanding of platform engineering, cloud, data, and AI concepts.
• Hands-on experience programming using languages, such as Python, JavaScript, or TypeScript.
• Good understanding of software testing, observability, monitoring, performance optimization, troubleshooting, and reliability engineering principles to ensure production-grade solutions
• Practical exposure to Agentic AI, LLMs, AI-assisted coding, and AI-enabled software engineering.
• Familiarity with tools or frameworks such as GitHub Copilot, Claude Code, LangChain, CrewAI, AWS AgentCore, or similar technologies is preferred.

Qualifications

A minimum of a master’s degree in Computer Science, Information Systems, Engineering, Data Science, AI, or a related field

Other Details