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Customer Experience Virtual Agent Intern
MaxisGenAI customer-experience intern improving Maxis virtual-agent and agent-assist solutions. Supporting conversational design, QA, analytics and responsible-AI optimisation for Malaysia’s integrated telco.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical and problem-solving skills to support the GenAI lifecycle, focusing on virtual agent and agent assist initiatives. Proficient in project management, documentation, and effective communication to enhance customer and agent experiences.
Highest-signal resume keywords
GenAI UnderstandingAnalytical SkillsProject ManagementSQLTesting/QA Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisConversation Flow RefinementTest PlanningRegression TestingUAT SupportKPI MonitoringDocumentationAutomation OpportunitiesCustomer Journey MappingContent Curation
Soft Skills
Problem-SolvingOrganizational AbilitiesEffective CommunicationTime ManagementProactive Learning
Tools & Technologies
ExcelGoogle SheetsPower BITableauConfluenceJira
Industry Keywords
Virtual AgentAgent AssistCustomer ExperienceData PrivacyComplianceChatbotsVoicebotsDigital Customer Journeys
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Support end-to-end delivery across the GenAI lifecycle for Virtual Agent and Agent Assist initiatives
- Collaborate with CX operations, product, design, engineering, data/AI, QA, knowledge/content and business teams
- Document use cases, customer and agent journeys, functional needs and acceptance criteria
- Refine Virtual Agent conversation flows, prompts, fallbacks, escalations, handovers and routing
- Validate and improve Agent Assist outputs including suggested answers, knowledge retrieval, summaries and next-best actions
- Analyse conversation logs, contact drivers, transfer reasons and agent feedback to identify pain points and automation opportunities
- Curate and tag utterances, intents, entities and content; identify gaps, inaccuracies and edge cases
- Execute test planning, regression testing, UAT support and defect logging
- Monitor KPIs including containment/resolution, transfer rate, answer quality, agent adoption, time saved and CSAT
- Maintain journey maps, intent catalogues, test scripts, known-issues logs, release notes and playbooks
- Follow responsible AI, data privacy, security and compliance requirements
- Propose experiments, measure outcomes and support iterative tuning
Requirements
What you’ll need- Strong problem-solving and analytical skills
- Ability to turn data and observations into clear insights and actions
- Good project management and organisational abilities
- Ability to track tasks, risks, dependencies and deadlines
- Effective written and verbal communication skills
- Ability to document requirements and write clear summaries
- Strong time management and ability to manage multiple priorities
- Proactive, curious and eager to learn in a fast-paced digital environment
- Basic understanding of GenAI, chatbots/voicebots or digital customer journeys is an added advantage
- Comfortable with Excel or Google Sheets; SQL, Power BI or Tableau is a plus
- Experience with Confluence, Jira or structured testing/QA practices is an added advantage
- Open to undergraduate students and recent graduates
- Internship period of 6 months starting from September
Benefits
Comp & perks- Holistic learning experience with end-to-end exposure to the GenAI value chain
- Industry experience
- Digital interview opportunity for shortlisted applicants
- Inclusive, diverse and collaborative culture
- Equal employment opportunity regardless of ethnicity, gender, age, education, religion, nationality or physical ability