Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
ByteDanceBytePlus is the enterprise technology arm of ByteDance, providing Generative AI, multimodal models, AI agent solutions, and cloud infrastructure capabilities to businesses worldwide. Join BytePlus as an AI Solution Architect focused on Generative AI Creative. You will help customers turn cutting-edge image, video, audio and multimodal models into scalable products, creative workflows and measurable business outcomes. This is a customer-facing role spanning pre-sales, solution architecture, prototyping and production delivery. The ideal candidate combines strong technical judgment with a practical understanding of how creative content is developed, reviewed, localized, distributed and measured in industries such as advertising, e-commerce, film, animation, media and entertainment. The core focus includes generative image, video, audio and multimodal models; AI-powered creative production workflows; customer solution design and technical pre-sales; and production architecture, optimization and delivery. Industry applications include advertising creative generation and adaptation, e-commerce product imagery and video, film, animation and pre-visualization, and media localization and content operations. Responsibilities include leading customer discovery and solution architecture by partnering with sales and customer stakeholders to identify high-value creative AI opportunities, define technical and business requirements, and design solutions that connect model capabilities with real production workflows; building compelling prototypes and proofs of value by rapidly creating customer-facing demos using image, video, audio and multimodal generation models to demonstrate creative quality, workflow efficiency or commercial impact; owning production delivery and guiding solutions from prototype to launch, including model and API integration, system architecture, media-processing pipelines, deployment, observability, evaluation, safety and operational handover; designing agentic creative workflows by building practical agent harnesses that orchestrate models, tools, state, memory, asset processing, human review and quality checks across multi-step creative production tasks; optimizing quality, performance and economics by making informed trade-offs across output quality, consistency, latency, throughput, reliability and cost, and improving prompts, model configurations, routing, caching and inference strategies based on production requirements; establishing fit-for-purpose evaluation standards for creative outputs using automated metrics, model-based evaluation, human review and business or campaign performance signals; shaping product and go-to-market direction by translating customer feedback and industry patterns into actionable input for product, research and engineering teams and developing reusable solution patterns, reference architectures and industry narratives; and driving cross-functional execution with account executives, product managers, researchers, engineers, creative stakeholders and customer teams to manage technical risks and deliver successful outcomes.
- At least 3 years of relevant professional experience in AI/ML engineering, solution architecture, forward-deployed engineering, creative technology, technical consulting or a related role. - Proven production experience with generative media models, particularly image, video or audio generation, beyond isolated experiments or basic API demos. - Hands-on delivery experience in at least one creative industry such as advertising, e-commerce, film, animation, media and entertainment, gaming, social content or creator platforms. - Demonstrated ownership of production-grade AI projects, including architecture, integration, testing, deployment, monitoring, quality control and operational reliability. - Practical understanding of generative media techniques such as prompting, reference conditioning, controllable generation, fine-tuning or LoRA, model evaluation and iterative creative refinement. - Hands-on experience designing agentic workflows or harnesses involving orchestration, tool use, state or memory, model routing, evaluation, human-in-the-loop review and failure handling. - Ability to communicate architecture decisions, model trade-offs and delivery risks clearly to both technical and business stakeholders.
- Deep domain experience in advertising production, creative agencies, e-commerce content operations, film or animation production, media platforms or creative software. - A creative portfolio or experience working closely with directors, designers, animators, editors, producers, marketers or other creative professionals. - Experience measuring the business impact of creative AI, such as production efficiency, content volume, localization speed, engagement, conversion or campaign performance. - Experience leading complex proofs of concept, technical workshops, customer pilots or multi-stakeholder production deployments. - Ability to create reusable reference architectures and mentor customers or internal teams on generative media solution design.
