AI Automation Specialist & Low-Code Orchestrator

U Mobile Sdn Bhd; Kuala Lumpur; On-site; MYR 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical, dental, optical

Insurance benefits

Flexi working hours

Staff line & device subsidy

Smart casual attire

Parental leave

Job summary

U Mobile Sdn Bhd is seeking a technically adept professional to bridge business needs and automated solutions. You will conduct workflow discovery, scope initiatives, and configure AI-driven automation with low-code tools, ensuring clear handoffs to engineering teams.

You will work with cross-functional stakeholders, mapping requirements, and recommending the right mix of automation, AI-assisted, or manual approaches. A background in business analysis or operations is valued.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IS/Engineering or a related field.
• 2–4 years of work experience, with at least 1 year hands-on in AI or automation building (LLM APIs, AI agent configuration, etc.).
• Experience gathering requirements or mapping processes is preferred.
• Strong communication skills and ability to work with cross-functional, non-technical stakeholders.

Responsibilities

• Run discovery on smaller-scope workstreams with the business owner.
• Build and configure AI-driven automation, including AI agents and low-code orchestration.
• Document feasibility, build decisions, and handoff requirements clearly to technical teams.

Skills

AI & Automation

Stakeholder communication

Low-code platforms

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

REST APIs

Webhooks

LLM APIs

Low-code platforms

Job description

U Mobile Sdn Bhd is seeking a technically adept professional to bridge business needs and automated solutions. You will conduct workflow discovery, scope initiatives, and configure AI-driven automation with low-code tools, ensuring clear handoffs to engineering teams.

You will work with cross-functional stakeholders, mapping requirements, and recommending the right mix of automation, AI-assisted, or manual approaches. A background in business analysis or operations is valued.