

City
Customer support & service roles in Tokyo scored for foreign professionals — visa sponsorship, Japanese level, salary and fit. Create a matching profile to personalize the ranking.
154
Salary (in millions of yen)

After sending, check your email and click the link





City

Full-time
Japanese (N1)
Visa likely ⓘ
Architect
GCP
ML
Lead technical design and delivery of enterprise AI integrations, diagnose implementation issues, and coordinate product, engineering, and customer teams.
This role acts as an enterprise architect, technical debugger, and engineering liaison for strategic customer accounts. It supports technical evaluation by assessing project feasibility, shaping proposals for long-term adoption, and validating Forward Deployed Engineering engagement requests.
The Customer Engineer leads technical design for enterprise AI solutions, including integration of models, agents, and connectors with customer data pipelines, identity providers, and compliance boundaries. The role drives technical delivery strategy, diagnoses code-level implementation issues, identifies product bugs, tests workarounds, and resolves deployment blockers with Product and Engineering teams. It also translates field feedback into feature requests and steers implementation strategy alongside customer-facing teams.
Required qualifications include a bachelor's degree or equivalent practical experience, 7 years of technical troubleshooting experience with partners or customers, experience with technical delivery strategy and system debugging, and experience with enterprise integrations, cloud infrastructure, AI/ML model deployments, or system design and orchestration frameworks. Fluent English and Japanese communication are required for client relationship management in the region.
Job details
About Google
Google is a global search, advertising, and cloud company that operates a large engineering office in Shibuya, Tokyo, hiring software engineers in Japan.
All Google jobs & company profile →Company details
AI-generated overview — may be incomplete or wrong, so don't rely on it fully.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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.