GenAI-Powered CX Virtual Agent Intern

Menara Maxis

Kuala Lumpur

On-site

MYR 9,000 - 13,000

Full time

14 days+
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Job summary

Maxis is seeking a Customer Experience GenAI Intern to join Malaysia. The role covers the full GenAI lifecycle—ideation, discovery, delivery, measurement and optimisation—driving faster, simpler, and more consistent customer experiences.

You will collaborate with CX operations, product, design, engineering, data/AI, QA and knowledge teams to convert priorities into actionable requirements, refine agent flows and support continuous improvement.

Qualifications

  • Strong problem solving and analytical abilities; translate data into insights.
  • Good project management and organisational skills; manage tasks and deadlines.
  • Clear written and verbal communication with diverse stakeholders.
  • Willingness to learn in a fast-paced digital environment and take ownership.
  • Basic understanding of GenAI, chatbots or digital customer journeys is a plus.

Responsibilities

  • Support GenAI lifecycle activities from ideation to rollout and optimisation.
  • Collaborate across CX operations, product, design, engineering, data/AI, QA and content teams.
  • Document use cases, journeys, and acceptance criteria; align stakeholders.
  • Assist in refining Virtual Agent and Agent Assist experiences for faster resolutions.
  • Track performance KPIs and contribute to weekly improvement recommendations.
  • Maintain knowledge artifacts and assist in QA/test activities.

Skills

GenAI basics
Analytical thinking
Documentation
PM fundamentals
Communication
Confluence
Jira
Excel

Tools

Confluence
Jira
Excel
Power BI

Job description

Maxis is seeking a Customer Experience GenAI Intern to join Malaysia. The role covers the full GenAI lifecycle—ideation, discovery, delivery, measurement and optimisation—driving faster, simpler, and more consistent customer experiences.

You will collaborate with CX operations, product, design, engineering, data/AI, QA and knowledge teams to convert priorities into actionable requirements, refine agent flows and support continuous improvement.

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