job

E T Consultant (Senior GenAI Engineering Practitioner – SDLC & Agentic AI)

Organization World Bank GroupLocation Chennai, IndiaPosted 27 May 2026Deadline 11 Jun 2026
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Full 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 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 Department Context The ITS Finance (ITSFI) unit builds and operates enterprise financial systems supporting WBG business processes. As part of ongoing modernization, the unit is advancing two priorities: improving end-to-end software delivery performance and building an internal agentic AI capability to enhance SDLC knowledge and execution. The Senior GenAI Engineering Practitioner will work across these two tracks.

The role embeds within delivery teams to assess and improve execution across the SDLC, while contributing hands-on to the design and development of an internal agentic AI platform that leverages SDLC artifacts. The position requires a senior practitioner mindset — combining hands-on engineering, experimentation, and pragmatic implementation. The role operates within an established technology and platform strategy and focuses on measured improvement, not architectural redesign. Duties and Responsibilities A.

SDLC Assessment and Improvement • Embed with agile teams to assess current SDLC practices across requirements, development, testing, and release • Identify gaps in delivery flow, quality, and developer productivity • Design and execute small-scale experiments using GenAI tools to improve outcomes • Establish baseline metrics and track measurable improvements over time • Produce implementable recommendations aligned with the existing tooling ecosystem B. GenAI Enablement within Engineering Workflows • Apply modern GenAI tools (e.g., coding assistants, prompt workflows) to real development scenarios • Develop reusable patterns for prompt engineering, code generation, and test automation • Partner with teams to incorporate GenAI into daily engineering practices • Evaluate impact on developer productivity, quality, and cycle time • Document practices for broader adoption across the portfolio C. Agentic AI Framework Contribution • Contribute hands-on to the design and prototyping of an internal agentic AI framework • Build and evaluate agent workflows leveraging SDLC artifacts (code, backlog, documentation) • Support integration of agent capabilities into engineering and delivery processes • Collaborate with a small internal team on experimentation, evaluation, and iteration • Ensure practical applicability of solutions within enterprise constraints D. Measurement, Adoption, and Scaling • Define and track KPIs linked to SDLC efficiency and GenAI adoption • Translate experimental outcomes into scalable practices • Support teams in adopting validated improvements • Provide structured updates on insights, risks, and results • Balance experimentation with delivery commitments E.

Stakeholder Engagement • Work closely with engineering teams, product roles, and leadership • Communicate findings clearly, with evidence and practical implications • Provide grounded, experience-based perspectives on trade-offs • Operate effectively within an established strategic direction

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