AI Product Builder Intern: Prototyping Impactful AI

Singtel

Singapore

On-site

SGD 11,000 - 22,000

Part time

2 days ago

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Job summary

Singtel is seeking an AI Product Manager & Builder Intern to help translate ambiguous AI opportunities into practical AI products. You will work across engineering and business, turning problems into clear requirements, user journeys, and prototype priorities.

You will prototype using AI tools, LLMs, and no-code platforms, while shaping the business value and adoption strategies. This internship focuses on credible AI-building with real demos and community engagement.

Qualifications

Pursuing a Bachelor's or Master's degree in CS, Engineering, Information Systems, Business or related field.
Experience building AI prototypes, demos, automation workflows, product concepts, or AI-enabled tools. Demonstrated ability to work across technical and business stakeholders.
Understanding of AI/GenAI concepts and enterprise applications.
Hands-on use of AI tools, LLMs, agentic workflows, and AI-assisted development tools.
Ability to define product requirements, user stories, acceptance criteria, and prototype test plans.
Strong research, synthesis, and product documentation skills.
Ability to evaluate AI ideas by feasibility, user value, adoption, and business impact.
Very strong communicator able to explain technical ideas simply to both engineers and non-technical stakeholders.
Comfortable working in ambiguity with a proactive, experimentation-driven mindset.
Credible AI-builder presence, with the confidence to share demos, lessons, and community practices.

Responsibilities

Support product management for the innovation AI initiative, including roadmap development, feature prioritisation, user journey mapping, success metrics, and end-to-end delivery coordination.
Translate business problems into clear product requirements, user stories, acceptance criteria, workflow logic, edge cases, and prototype iteration priorities.
Drive rapid prototyping using modern AI tools, LLMs, agentic workflows, no-code or low-code platforms, and AI-assisted development approaches to test new AI concepts aligned to enterprise needs.
Shape the business angle of AI product work by assessing user value, operational impact, adoption barriers, stakeholder readiness, productivity gains, and value realisation potential.
Conduct market and community scanning on emerging AI, GenAI, agentic AI tools, AI-assisted development patterns, and builder practices to identify opportunities for strategic adoption.
Collaborate with AI engineers, solution teams, product owners, and business stakeholders to refine prototypes into scalable, secure, usable, and production-ready solutions.
Prepare product briefs, demo scripts, stakeholder decks, leadership updates, recommendations, and strategic materials that communicate AI product value clearly in business terms.
Develop frameworks and trackers for adoption planning, change management, user feedback loops, performance monitoring, and value realisation for AI products.
Monitor product performance metrics, usage trends, user feedback, and adoption signals to inform iterative improvements and roadmap evolution.
Promote AI-first ways of working by supporting communications, internal demos, training materials, onboarding activities, and knowledge-sharing sessions for AI products.