Serve as the lead developer for AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Master Control Program (MCP) servers) that drive Return on Investment (ROI).

Architect and code the connections between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters.

Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.

Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.

Drive engineering excellence across Japan and Asia Pacific (JAPAC) region by mentoring talent, co-building with customer teams to instill best practices, and collaborating in cross-functional strategies to up-level organizational technical capabilities.

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience

8 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms.

Experience in leading technical discovery sessions with executive stakeholders and engineering teams to define AI and hardware infrastructure requirements.

Experience in building full-stack solutions that interface with enterprise systems.

Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.