Samnit Singh
Associate Director Tech Partnership | Helping enterprises Modernize Platforms, Scale AI Adoption, and Build High-impact Engineering Teams.
- Role
- Associate Director Technology Partnerships Ai Transformation at Programming.com
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Samnit Singh
I work at the intersection of, supporting enterprises as they modernize platforms, adopt AI responsibly, and scale engineering capabilities aligned to business priorities.At, I engage with technology leaders and delivery teams across initiatives such as:• AI and machine learning adoption, including applied and generative AI• Cloud-native and platform modernization programs• Enterprise software and digital transformation initiatives• Building and scaling distributed engineering teams through flexible delivery modelsMy approach is consultative and execution-focused, with an emphasis on long-term partnerships, clarity of outcomes, and practical implementation rather than experimentation for its own sake.I typically engage with organizations navigating complex transformation programs, platform modernization efforts, or AI adoption at scale, where technology, talent, and delivery discipline need to work together.Open to conversations around.
Experience
Associate Director Technology Partnerships Ai Transformation
Dec 2025 — Present · Gurugram, IN
Responsible for driving technology partnerships and supporting enterprise-level AI and digital transformation initiatives, working closely with business and technology stakeholders to align platforms, talent, and delivery models with long-term transformation goals. • Engage with senior technology and business leaders to support, platform modernization, and large-scale digital initiatives.• Collaborate with internal delivery, architecture, and engineering teams to align, with client objectives.• Support across AI, cloud, data, and engineering domains, focusing on long-term collaboration rather than transactional engagement.• Contribute to solution shaping for,/.• Enable organizations to through flexible delivery and engagement models aligned to business and technical requirements.• Maintain a consultative, outcome-oriented approach across discovery, alignment, and execution phases of transformation programs. • AI & machine learning adoption (including applied and generative AI)• Cloud-native and platform modernization• Enterprise software and digital transformation• Distributed engineering team scaling and delivery enablement
Education
University of Leicester
Bachelor's degree, Business Administration and Management, General
2013 — 2016
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