SeaOwl Group
AI Digital Transformation Engineer
Skills
24 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Work mode:
Onsite
Published on:
2 October 2026
What they need
About the role
As an AI Digital Transformation Engineer, you will play a key role in supporting the design, implementation, and adoption of AI-driven solutions to accelerate digital transformation initiatives. You will work closely with cross-functional teams to identify opportunities, translate business needs into technical solutions, and contribute to the delivery of high-impact projects. This is a hands-on role that turns projects into working tools. You will work directly with the CEO Asia, build and configure solutions personally, and work with technology partners and consultants where it makes more sense to buy than to build.
Key responsibilities
- Take part in the final selection of the document control system, then lead its rollout across projects
- Configure workflows, migrate existing documents, and train users on document control systems
- Build AI automation for repetitive document control tasks such as registering, classifying, checking, and distributing documents
- Work with the payroll team in Thailand to understand the current process and design and build a tool that removes repetitive manual work
- Design payroll tools with data protection from the start, given the highly confidential nature of payroll data
- Develop AI features of the applicant tracking system with the software vendor for more accurate CV screening and ranking
- Support technology partnerships that bring AI and digital tools into maintenance engineering and commissioning services
- Support internal research tools used by the business development team when needed
- Specify, set up, and maintain the hardware and hosting these tools need, including local AI models where appropriate
- Help decide what to build in-house and what to outsource; brief, follow, and review the work of external consultants and vendors
About you
- Degree in Engineering, Computer Science, Data Science, or a related field
- 1 to 4 years of experience; company experience is welcome, but personal, academic, or internship projects are also valued, as long as you built them and can show them working
- At least one AI solution implemented for real users, inside or outside a company, with the ability to explain what was built, why, and what went wrong
- Experience with retrieval over company documents (RAG), AI agents, or workflow automation tools is an advantage
- Experience with a document management system, payroll, or HR software is an advantage
- Exposure to oil and gas, energy, or engineering services is an advantage
- Experience working with external vendors or consultants is an advantage
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