E T Consultant (Senior GenAI Engineering Practitioner – SDLC & Agentic AI)
At a glance
Highlights
- Work on internal agentic AI platform
- Impact SDLC efficiency across global teams
- Opportunity within World Bank Group
Why this role might suit you
A senior engineering practitioner with hands‑on GenAI experience can drive measurable SDLC improvements and help build an internal agentic AI framework for a global development institution.
Skills
About the role
E T Consultant (Senior GenAI Engineering Practitioner – SDLC & Agentic AI)
Job #:
req36819
Organization:
World Bank
Sector:
Information Technology
Grade:
EC2
Term Duration:
1 year 0 months
Recruitment Type:
Local Recruitment
Location:
Chennai,India
Required Language(s):
English
Preferred Language(s):
Closing Date:
6/10/2026 (MM/DD/YYYY) at 11:59pm UTC
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
Selection Criteria
Education and Experience:
a Master's degree with 5 years of experience or a Bachelors Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
Required:
5+ years as a software engineering practitioner (Staff/Principal/Engineering Manager level or equivalent)
Hands-on experience with GenAI tools within the last 24 months, applied to real engineering workflows
Demonstrated ability to improve SDLC practices through practical implementation
Experience working within structured delivery environments (e.g., Agile at scale)
Strong written and verbal communication skills
Preferred:
Experience with agentic frameworks (e.g., multi-agent workflows, orchestration frameworks)
Background in financial services or other regulated environments
Familiarity with SAFe Agile or similar scaled frameworks
Other Competencies:
Ability to operate independently and drive outcomes
Strong problem-solving and experimentation mindset
Pragmatic approach to balancing innovation and delivery
WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.
World Bank Group Core Competencies
As per WBG policy, an Extended Term (ET) appointment is subject to a lifetime maximum of three (3) years. Former and current ET staff who have completed or are in the process of completing their third-year ET appointment are not eligible for future ET appointments.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC including our values and inspiring stories.
Questions about this role
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