WiproThe customer this was delivered for.7 AI Engineers Identified for Hiring from 123 Participants
Key results
- 123 total participants
- 24 unique submissions
- 11 winners
Wipro's AI practice was scaling rapidly, with growing demand for hands-on Gen AI and Agentic AI talent across delivery, innovation, and AI Scale initiatives. They faced difficulty in objectively validating real, hands-on capabilities and an over-reliance on resumes and interviews that didn't demonstrate solution-building skills. Wipro needed to identify industry-ready AI engineers globally across experience bands within compressed timelines. They sought a scalable, unbiased, and merit-based talent identification model to find top talent for potential full-time roles. Wipro partnered with Topcoder to run two parallel, real-world Codathon challenges, focusing on Generative AI and Agentic AI. These challenges were designed for talent identification and technical evaluation, with participation restricted to India, USA, and Canada, and segmented into 2-4 and 5-8 years experience bands. Topcoder managed the full lifecycle, including challenge design, community outreach, independent technical review, and objective scoring. Winning entries were deployed on AWS for validation, and top performers were awarded prize money and shortlisted for Wipro's hiring pipelines. The Codathon successfully identified 7 AI engineers who were shortlisted for next-stage hiring based on real code and deployed solutions. This model enabled merit-based, evidence-driven talent decisions, reduced hiring risk, and accelerated the AI talent pipeline. It also compressed the full hiring lifecycle from months to weeks. Beyond immediate hiring, the program established a repeatable model for future AI, Data, and Cloud-native engineering needs.
Topcoder