AI and Cloud Solution Architect Lead

About BytePlus BytePlus is the enterprise technology arm of ByteDance, providing Generative AI, multimodal models, AI agent solutions, and cloud infrastructure capabilities to businesses worldwide. In Japan, we work with leading enterprises across multiple industries to drive AI adoption from proof-of-concept (PoC) to scalable commercial deployment. Our goal is not only to demonstrate cutting-edge technology, but to help organizations create sustainable and measurable business value. Responsibilities Pre-Sales & Solution Design - Partner closely with the Japan regional Sales team to identify customer business challenges and technical requirements. - Break down complex business problems into practical and scalable AI solutions. - Lead technical demos, architecture discussions, RFI/RFP responses, and PoC design and delivery. - Drive PoC-to-production conversion and ensure measurable business impact. - Build technical credibility within customer organizations, from engineering teams to C-level executives. AI Solution Development & Optimization (Hands-on) - Participate in or lead the design and implementation of Generative AI applications, including LLMs, RAG systems, agent architectures, and multimodal solutions. - Design and implement end-to-end system architectures, including model orchestration, knowledge base construction, vector database integration, API connectivity, and overall system integration. - Evaluate system performance in real production environments (accuracy, latency, cost, scalability). - Optimize prompt structures, inference workflows, and caching strategies to improve system stability and efficiency. - Continuously refine solutions based on customer business KPIs. Commercial Collaboration & Project Execution - Act as the technical lead in customer engagements, supporting commercial discussions and technical negotiations. - Collaborate with the Sales team to drive deal closure and contract execution - Support account expansion initiatives (upsell / cross-sell). - Take ownership of both technical quality and commercial success of assigned projects. - Build and maintain long-term trusted relationships with enterprise clients. Product & Market Feedback Bridge - Provide structured frontline feedback to Product and Engineering teams. - Drive localization and optimization of products for the Japan market. - Identify repeatable, industry-level AI solution patterns and support scalable adoption. - Contribute to the development of industry solution frameworks and methodologies for Japan. Minimum Qualification(s) - Bachelor’s degree or above in Computer Science, Engineering, or a related technical field. - At least 5 years of experience in AI solutions, technical consulting, or related technical roles, including at least 2 years of people management experience. - Experience working on enterprise-level customer projects. - Strong software engineering capability, able to build and integrate production-grade applications. - Familiarity with Generative AI technologies, including LLMs, RAG architectures, agent systems, or multimodal models. - Experience deploying applications in cloud environments (e.g., Docker, Kubernetes, or major public cloud platforms). Preferred Qualification(s) - Solid understanding of Transformer architecture fundamentals and prompt engineering principles. - Experience building knowledge base systems and working with vector databases. - Familiarity with common agent or AI application frameworks (e.g., LangChain, LlamaIndex). - Understanding of inference optimization, latency control, and cost management strategies. - Experience designing scalable, production-ready end-to-end AI system architectures. - Hands-on experience applying Generative AI or multimodal models in real production environments. - Ability to translate technical capabilities into measurable business value (e.g., efficiency improvement, cost reduction, revenue growth) and proven experience converting PoC projects into full commercial deployments. - Experience building scalable solutions from 0 to 1 and driving replication across multiple accounts. - Ability to bridge technical discussions and commercial conversations with enterprise stakeholders. - Proficiency in Python (preferred for software engineering capability).