AI Solution Engineer / Architect

Key Responsibilities

• Partner closely with stakeholders across various business functions to identify opportunities where AI and Large Language Model (LLM) technologies can enhance productivity and decision-making.
• Develop, deploy, and maintain enterprise-grade AI applications, including agent-based solutions, knowledge retrieval platforms, and intelligent workflow automation tools.
• Lead projects from initial requirement gathering through design, development, deployment, and continuous enhancement.
• Build integrations between AI solutions and enterprise platforms such as ERP, CRM, databases, and other business-critical systems.
• Establish best practices around AI governance, monitoring, security, reliability, and responsible AI adoption.
• Act as a trusted advisor to both technical and non-technical stakeholders, translating business requirements into practical technology solutions.
• Drive user adoption by continuously refining solutions based on feedback and business outcomes.

Requirements

• Solid experience designing and delivering AI, Machine Learning, or Generative AI solutions in a professional environment.
• Proven track record of deploying at least one production-ready LLM-based application or intelligent automation platform.
• Strong programming expertise in Python and experience working with modern AI frameworks, agent architectures, and LLM ecosystems.
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases, AI orchestration tools, and API integrations.
• Familiarity with cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience implementing CI/CD practices, automated testing, and application monitoring.
• Demonstrated ownership of full project lifecycles from problem identification through post-production support.
• Comfortable operating in a dynamic, fast-paced environment with minimal supervision.
• Strong communication and stakeholder management skills.
• Fluent in Cantonese and English.