Senior AI Implementation Lead - Low-Code Automation

Watson's Personal Care Stores Sdn. Bhd.; Kuala Lumpur; On-site; MYR 120,000 - 200,000; Full time

Job summary

Watsons Malaysia is seeking an AI Implementation Specialist to lead local AI initiatives, coordinate across IT and business teams, and deliver practical AI solutions with governance. The role includes user training, handover, and ongoing support for measurable business value.

The candidate will prototype AI assistants, automate workflows, and validate pilots while aligning with local workflows and IT standards. 3–5 years in AI implementation is preferred.

Qualifications

• Education: Bachelor's Degree in IT, CS, IS, or related field.
• Experience: 3–5 years in AI solution implementation, business apps, automation, or IT/business solution delivery.
• Strong stakeholder coordination and cross-functional project skills.
• Hands-on experience with enterprise AI tools, assistants, prompt design and low-code automation.

Responsibilities

• Coordinate Group AI initiatives as local PIC, aligning scope, requirements, timelines and risks.
• Lead end-to-end local implementation, configuration, testing, deployment and handover of AI solutions.
• Advise business users on AI adoption, tools and safe usage; drive practical AI adoption.
• Engage AI Champions, gather problem statements, prioritize use cases by benefit, effort and data readiness.
• Prototype and build AI assistants, workflows and lightweight apps using approved tools and APIs.
• Plan and run proofs of concept and pilots, measure time saved, accuracy and adoption.

Skills

AI solution delivery

Stakeholder coordination

Business analysis

User engagement

Low-code automation

Education

Bachelor's degree in IT/CS/IS/Analytics

Tools

Generative AI tools

Low-code/no-code platforms

APIs integration

Job description

Watsons Malaysia is seeking an AI Implementation Specialist to lead local AI initiatives, coordinate across IT and business teams, and deliver practical AI solutions with governance. The role includes user training, handover, and ongoing support for measurable business value.

The candidate will prototype AI assistants, automate workflows, and validate pilots while aligning with local workflows and IT standards. 3–5 years in AI implementation is preferred.