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
Senior AI Specialist Solutions Architect (SSA) at Amazon Web Services Japan GK (Tokyo). As a hands-on technologist with deep domain-specific expertise, address advanced AI concepts and feature designs for customers with complex challenges that require expert-level knowledge, and craft scalable, flexible, resilient technical architectures - guiding customers as they refactor applications or design entirely new cloud-based systems. AWS is leading the next phase of AI adoption. Tokyo; full-time.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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
Full-time
Japanese (N1)
Visa likely ⓘ
Spark
AWS
AI
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.
Full-time
Japanese (N1)
Visa likely ⓘ
Architect
Kafka
Elastic
Design production-grade AWS data architectures for enterprise customers, spanning analytics, warehouses, data lakes, pipelines, streaming, search, governance, security, cost, and operations.
Full-time
Japanese (N1)
Visa likely ⓘ
DevOps
Architect
Azure
Design secure Azure AI and cloud solutions, leading architecture engagements, proofs of concept, pilots, and production adoption for customer applications and agents.
Full-time
Japanese? ⓘ
Remote
GenAI
Tech Lead
Full-stack
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.
Full-time
Japanese (N1)
Visa maybe ⓘ
Redis
MySQL
DynamoDB
Develop and operate PlayStation online services, improving platform reliability and maintainability through standardization, automation and AI-assisted operations.