Customer Experience Virtual Agent and Agent Assist Intern

Menara Maxis; Kuala Lumpur; On-site; MYR 13,000 - 18,000; Full time

Benefits offered by this job

Mentorship

Learning opportunities

Project exposure

Job summary

Maxis is seeking a Customer Experience Virtual Agent and Agent Assist Intern in Kuala Lumpur for a 6-month program. You will contribute across the GenAI lifecycle, from ideation to rollout, and work with CX, product, design, engineering, data/AI, QA teams to deliver seamless experiences.

This internship offers hands-on exposure to real customer journeys, KPI tracking, responsible AI practices, with mentoring and opportunities to learn about chatbots and digital customer journeys.

Qualifications

• Strong problem-solving and analytical skills.
• Good project management and organisational abilities.
• Effective written and verbal communication skills.
• Eager to learn in a fast-paced digital environment.

Responsibilities

• Support end-to-end GenAI lifecycle across ideation to rollout and optimisation.
• Collaborate with CX ops, product, design, engineering, data/AI, QA, knowledge/content and business teams.
• Document use cases, journeys, functional needs, and acceptance criteria; support alignment across stakeholders.
• Improve Virtual Agent experiences by refining conversation flows, prompts, fallbacks and routing.
• Enhance Agent Assist by validating GenAI outputs such as suggested answers and summaries.
• Track KPIs and share weekly recommendations.
• Maintain journey maps, knowledge content and release notes.

Skills

Problem solving

Project management

Communication

Time management

Proactiveness

Education

Undergraduate student

Tools

Excel

Google Sheets

SQL

Power BI

Tableau

Job description

## Customer Experience Virtual Agent and Agent Assist InternApply: Menara Maxis: Full time: Posted Yesterday: JR13769**Are you ready to get ahead in your career?*** We want to empower you to turn your ambitions into achievements.* We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.* Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.* To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.**Why does this job exist and why is it critical?**Maxis is scaling GenAI-powered customer experiences to deliver faster, simpler and more consistent support across our key engagement touchpoints. This internship exists to accelerate the development and continuous improvement of two critical capabilities: Virtual Agent: Supports customers before they reach a live agent by resolving common enquiries, guiding journeys and routing customers correctly, reducing customer effort and improving speed to resolution. Agent Assist: Supports live agents during interactions by surfacing relevant knowledge, suggested responses, summaries and next-best actions—improving accuracy, consistency and first-time resolution. As a Customer Experience Virtual Agent and Agent Assist Intern, you will contribute across the full GenAI lifecycle (ideation, discovery, delivery, measurement and optimisation). Your work will help Maxis drive meaningful outcomes—higher digital adoption and resolution, improved agent productivity, and stronger customer satisfaction—while ensuring experiences remain user-centric, reliable and aligned to business priorities. **Key Responsibilities*** Support end-to-end delivery across the GenAI lifecycle (ideation, discovery, build, testing, rollout and optimisation) for Virtual Agent and Agent Assist initiatives.* Collaborate cross-functionally with CX operations, product, design, engineering, data/AI, QA, knowledge/content and business teams to deliver seamless experiences across channels and touchpoints.* Translate business priorities into actionable requirements by documenting use cases, customer/agent journeys, functional needs, and acceptance criteria; support alignment across stakeholders.* Improve Virtual Agent (pre-agent) experiences by helping refine conversation flows, prompts, fallbacks, escalation/handovers and routing to increase resolution/containment and reduce customer effort.* Enhance Agent Assist (during live interactions) by helping validate and improve GenAI outputs such as suggested answers, knowledge retrieval, summaries, next-best actions and disposition support for faster, more accurate resolutions.* Analyse customer and agent signals (conversation logs, contact drivers, transfer reasons, agent feedback) to identify pain points, automation opportunities and priority fixes with clear impact rationale.* Support training data and knowledge quality by curating/tagging utterances, intents, entities and content; flag gaps, inaccuracies and edge cases to improve coverage and answer quality.* Execute QA and release readiness activities including test planning, regression testing, UAT support, and defect logging with clear evidence, severity and reproduction steps.* Track and communicate performance insights by monitoring KPIs (e.g., containment/resolution, transfer rate, answer quality, agent adoption, time saved, CSAT) and sharing weekly recommendations.* Maintain documentation and operational artefacts such as journey maps, intent catalogues, test scripts, known issues logs, release notes and playbooks to support consistent delivery and scaling.* Support responsible AI and governance by following data privacy, security and compliance requirements, and flagging risks such as hallucinations, unsafe responses, bias, or policy misalignment.* Drive continuous improvement by proposing experiments (e.g., prompt variants), measuring outcomes, and supporting iterative tuning to improve customer and agent experience. **Value-Added Project**The intern will be immersed in a holistic learning experience, gaining end-to-end exposure to how the GenAI value chain operates in a real customer experience environment. This includes how ideas are converted into Virtual Agent (pre-agent) and Agent Assist (in-agent) use cases, how cross-functional teams collaborate to design, build and govern solutions, and how data-driven decisions are made to improve customer outcomes and operational performance. **Preferred Skills / Qualifications*** Strong problem-solving and analytical skills; able to turn data and observations into clear insights and actions.* Good project management and organisational abilities; comfortable tracking tasks, risks, dependencies and deadlines.* Effective written and verbal communication skills; able to document requirements, write clear summaries, and work with diverse stakeholders.* Strong time management with the ability to manage multiple priorities and deliver consistently.* Proactive, curious and eager to learn in a fast-paced digital environment; takes ownership and follows through. **Added Advantage*** Basic understanding of GenAI, chatbots/voicebots, or digital customer journeys.* Comfortable with data tools (Excel/Google Sheets; SQL/Power BI/Tableau is a plus).* Experience with documentation/ticketing tools (e.g., Confluence, Jira) or structured testing/QA practices. **Additional Information*** Internship period: **6 months** starting from **October*** Open to undergraduate students and recent graduates seeking industry experience.* Due to the high volume of applications, **only shortlisted applicants will be contacted**. **Application Process**Submit your resume and cover letter through our career portal. We look forward to welcoming motivated and curious individuals to our team!**What’s next?*** Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.* Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.