Associate Software Engineer

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 www.worldbank.org ITS Vice Presidency Context: The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9 v=VTFGffa1Y7w Unit Context: The WBG Corporate Solutions Department (ITSCO) is focused on the digital transformation of essential corporate services to ensure WBG operations are seamless, resilient, and future ready. Uniting digitalization roadmaps, experience design, process optimization, application delivery, systems management, and technology modernization across some 170 products and services, the department links business ambition with operational excellence—from intuitive employee experiences and precision payroll to data-driven decision making, intelligent automation, and AI enablement. The Corporate Digital Backbone unit creates an autonomous digital backbone for the orchestration of data, transactions, processes, and insights across the diverse corporate portfolio, e.g. application modernization, technology debt reduction, efficient data exchange, advanced analytics, enterprise integration, automated business processes, and agentic-AI. Role Purpose: The Associate Software Engineer - AI Solutions is responsible for researching, developing, and embedding advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities across the corporate portfolio. Acting as a catalyst for digital transformation, this role will involve leading the AI-first redesign of corporate workflows and the modernization of legacy systems to support advanced generative AI (GenAI) and Agentic frameworks across business units (including HR, Legal, Corporate Secretariat, Budget, and Travel). • Conducts advanced research and analysis within the AI/ML landscape to architect and propose innovative solutions for complex corporate business challenges. • Spearheads targeted GenAI use cases, specifically automating document synthesis, contract drafting, and policy-checking to drastically optimize HR, Legal, and Corporate Secretariat workflows. • Applies deep technical expertise and broad industry knowledge to navigate and execute high-stakes, difficult AI engineering assignments from conceptualization to deployment. Key Responsibilities: 1. AI-First Redesign Strategic Enterprise Development • AI-First Process Redesign: Lead the paradigm shift toward "AI-first" corporate operations, fundamentally reimagining and redesigning legacy business processes, user experiences, and application architectures to put AI at the core, rather than retrofitting it onto outdated systems. • Corporate Alignment: Collaborate with corporate business leadership across key units to identify high-impact automation opportunities and translate overarching business objectives into scalable, AI-native solutions. • Workflow Automation Agentic AI: Engineer and prototype autonomous AI agents capable of executing complex, multi-departmental corporate workflows (e.g., cross-functional budget reconciliations, automated legal drafting) to drive "zero-touch" operational efficiency. 2. System Modernization Seamless Integration • Enterprise Modernization: Drive the modernization of legacy corporate IT infrastructure, proactively reducing technical debt and architecting transitions toward decoupled, cloud-native environments that seamlessly support modern LLMs and AI integrations. • System Interoperability: Lead the integration of advanced AI models into the fabric of the modernized IT landscape, optimizing API connections with core Enterprise Resource Planning (ERP) and Human Capital Management (HCM) systems to ensure uninterrupted, real-time data flow. • Enterprise-Grade RAG Architecture: Design and deploy secure Retrieval-Augmented Generation (RAG) frameworks that allow disparate corporate units to safely query highly sensitive internal repositories, policy databases, and institutional historical records. 3. Quality Assurance, Risk Management Governance • Risk Management HITL: Design and enforce rigorous Human-in-the-Loop (HITL) validation protocols for AI-generated corporate, legal, and financial documents to guarantee institutional accuracy and mitigate hallucination risks. • Enterprise AI Compliance: Act as a steward for AI governance by ensuring all machine learning and modernization initiatives strictly comply with corporate ethical standards, global data privacy regulations, and internal information security mandates. 4. Change Management Enterprise Adoption • Digital Transformation Evangelism: Drive AI literacy and adoption across corporate business units, demystify AI technologies for non-technical stakeholders, and promote a culture of continuous digital improvement. • Targeted Upskilling: Develop comprehensive training programs and accessible prompt-engineering playbooks specifically tailored for administrative, analytical, and executive corporate staff to maximize the daily utility of GenAI tools. 5. Value Realization Strategic Innovation • Business Impact Tracking: Define, monitor, and report on key performance indicators (KPIs) for deployed AI solutions. Translate technical metrics into measurable corporate value, focusing on ROI, cost-per-task reduction, time-to-completion, and operational error mitigation. • Future-Proofing the Tech Stack: Act as a strategic technical advisor by continuously evaluating emerging AI market trends to recommend proactive platform upgrades and secure the corporate department's competitive technological advantage. Plus, other duties as assigned.