AI Solutions Specialist (Junior)

We are looking for an AI Solutions Specialist to support the practical adoption of generative AI across the organisation. The role involves working with business units to identify workflow challenges, designing, prototyping and deploying AI-powered automations, connecting large language models (LLMs) with internal systems, and supporting employees in adopting new AI tools.

Requirements

Key Responsibilities:

• Collaborate with different business units to identify workflow challenges that can be solved or improved using AI.
• Design, prototype, test, and deploy AI-powered automations for practical business use cases.
• Build and maintain Model Context Protocol (MCP) integrations connecting language models with internal systems, tools, and data sources.
• Integrate LLM APIs with internal platforms through APIs, webhooks, or MCP servers.
• Develop prompt-engineering standards, templates, and reusable prompt libraries.
• Prepare user guides, standard operating procedures (SOPs), and training materials for internal AI tools.
• Conduct onboarding and provide ongoing support to end users.
• Monitor AI-tool usage, cost, reliability, and performance, and recommend improvements.
• Keep up with emerging AI technologies and assess their suitability for the business.
• Support responsible and secure AI adoption by following internal data-security and governance requirements.

Qualifications / Requirements:

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field.
• At least two years of relevant experience in AI and automation, software development, data engineering, or IT solutions delivery.
• Hands-on experience using and integrating language models for practical business applications.
• Understanding of MCP or similar frameworks that connect AI models with external tools and data sources.
• Familiarity with APIs, webhooks, and system integration concepts.
• Basic knowledge of SQL, spreadsheets, and structured or unstructured data.
• Strong problem-solving skills with the ability to translate business requirements into practical technical solutions.
• Good communication skills in English; proficiency in Mandarin will be an advantage.
• Self-driven, curious, and comfortable working with multiple departments and stakeholders.

Skills

Prompt Engineering, LLM Integration, Model Context Protocol (MCP), API Integration, Webhooks, SQL, Data Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Automation Tools (n8n, Zapier, Make, Power Automate)