Solution Architect

KKCompany Technologies, Asias leading AI multimedia technology group is dedicated to creating values for customers with core businesses of multimedia technologies, digital cloud, and AI applications.

At KKCompany, we believe in Innovation Made Simple, and technology is the answer to the struggles faced by every industry. Since its establishment two decades ago, KKCompany has expanded its portfolio, including KKBOX, BlendVision and Going Cloud. KKBOX is the worlds first platform bringing legal music streaming service to the public. It utilizes state-of-the-art streaming technology to enable excellent user experience. Our flagship brands and a base of international clients enable us to accumulate extensive data and advance analytical capabilities. The strengths along with our abundant experience in brand management help businesses achieve digital transformation successfully. We serve over tens of millions of consumers and enterprise clients in Asia cross a broad spectrum of industries such as telecommunication, multimedia, online education, fitness, smart retail and more.

KKCompany now has over 500 employees across offices in Tokyo, Singapore, Taipei, Kaohsiung, and Hong Kong.

Responsibilities:

• Act as a professional technical consultant to enterprise clients, understanding business needs, presenting proposals, and providing architecture design and solution planning for AI/ML and GenAI applications on AWS.
• Prepare and deliver technical proposals, demos, and PoCs tailored to specific client use cases and business goals.
• Translate technical concepts into clear, business-relevant language that enterprise clients can easily understand.
• Work closely with internal business development, product, and engineering teams to deliver customized, value-driven solutions.

Requirements:

• 3+ years of experience in a technical role such as Solution Architect, Data Scientist, ML Engineer, or a related field.
• Foundational understanding of LLM and GenAI concepts such as Prompt Engineering, Chatbot workflows, or RAG.
• Basic system architecture knowledge to outline technical solutions.
• Familiarity with basic machine learning concepts and libraries (e.g., scikit-learn, TensorFlow, or PyTorch).
• Strong communication skills, able to create clear and persuasive presentation decks and confidently deliver technical talks or demos in client-facing scenarios.
• Willingness to work across teams and adapt to a dynamic and collaborative working environment.
• Proactive, curious, and eager to explore new GenAI technologies and trends.

Nice to Have:

• Hands-on experience with developing LLM-based applications.
• AWS Certified Solutions Architect Professional (SAP) certification.
• Experience participating in end-to-end AI/ML projects from requirements gathering, data pipeline design, model development, to deployment and client enablement.
• Prior experience in a consulting firm, system integrator (SI), or a client-facing service delivery environment.
• Experience in handling multiple concurrent client projects and collaborating with cross-functional teams.
• Ability to communicate in English for cross-border collaboration is a plus.