Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
Amazon Web Services Japan hires a Partner Solutions Architect to lead, from the technical side, its collaboration with large AWS partners. The architect works with partner technical leaders on joint technical plans, hands-on sessions, proofs of concept, solution building and go-to-market support, and helps partners transform by using AI effectively.
The work includes listening to partners' technical problems and helping design and implement solutions from AWS services, providing hands-on workshops and technical training matched to the partner's staffing strategy, and building and driving a technical roadmap that supports the partner's business strategy. The architect also relays service improvement requests to development teams and works with AWS sales and product teams on joint campaigns.
Applicants need five or more years as a solutions architect, in pre-sales or in technical proposals, practical cloud architecture experience on AWS, Azure or GCP, understanding of applied AI including model selection, RAG, prompt engineering and agents, and experience giving technical presentations and workshops. Fluent Japanese and business-conversation-level English are required. AWS certifications and AI solution design experience are preferred.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Develop machine-learning models, run experiments, and analyze large-scale data to improve product discovery, search relevance, personalization, and GenAI/LLM-powered customer experiences.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.
Build and validate a new AI product by exploring customer problems, prototyping and improving solutions, and driving customer acquisition and adoption with engineering, design and business teams.
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.