Presales / Solution Consultant (AI technologies, LLM)

Job Responsibilities

• Lead pre-sales activities, including presentations, solution demonstrations, user requirement gathering, and proposal development
• Design infrastructure solutions, including network and server systems, during the pre-sales stage
• Provide expertise in AI technologies, Large Language Models (LLMs), document management systems, and knowledge management solutions to address client needs
• Collaborate with the sales team to identify and drive business opportunities
• Assist in preparing formal RFP responses for government and enterprise clients
• Participate in ad hoc projects and provide support to the team’s success

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related disciplines 
• Candidates with less experience or fresh graduates with a strong interest in IT and pre-sales are welcome to apply (junior or trainee positions available) 
• Experience in infrastructure architecture design, such as networking, virtualization, or backup solutions, is an advantage 
• Knowledge or experience with AI technologies, Large Language Models (LLMs), document management, and knowledge management systems is highly preferred
• Excellent presentation and interpersonal skills with a customer-oriented mindset 
• Positive attitude, fast learner, and ability to thrive in a dynamic environment
• Proficient in written and spoken English and Chinese

Benefits

• 5-Day Work Week
• Performance bonus
• Marriage Leave
• Paternity Leave
• Birthday Leave
• Medical allowance
• Compassionate Leave
• Examination Leave
• Promotion opportunities
• In-service training course

We offer 5-day work with good career prospects and excellent fringe benefits to the right candidates. Different areas of IT solution training (Such as Microsoft, IBM, Oracle or Mobile Application Development) will be provided. Please send a full resume including current and expected salary by clicking "Apply Now". 

Information provided by applicants will be treated in strict confidence and will only be used for recruitment related purposes. All information on unsuccessful candidates will be retained for no longer than one year.