# Product Engineer, Applied AI

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** Tokyo, Japan
**Role:** Solutions Architecture
**Experience:** 4+ years
**Skills:** Python, LLMs, Claude, Prompt Engineering, System Architecture, Solutions Architecture, Production Systems, Evaluation Suites, Ai Safety, Customer Onboarding
**Posted:** 2026-08-19

> Develop and deploy bespoke Claude and large-language-model solutions for enterprise customers across Japan, partnering with sales, product, and engineering teams. The role requires 4+ years of relevant technical experience, strong Python skills, production LLM experience, and native-level Japanese with business-level English.

## Job Description

## Responsibilities
- Act as the primary technical advisor for prospective customers across Japan evaluating Claude.
- Demonstrate business applications of Claude by developing system architectures and using novel prompting techniques.
- Partner with account executives to understand customer requirements and configure Claude demonstrations.
- Develop customized pilots, prototypes, and evaluation suites to support customer adoption.
- Advise on optimal setup, architecture, and integration with existing infrastructure.
- Recommend solutions to technical roadblocks.
- Support customer onboarding and ongoing implementation through cross-functional collaboration.
- Travel occasionally to customer sites for workshops and implementation support.
- Establish a shared vision for safe and beneficial AI solutions.
- Lead the vision, strategy, and execution of innovative solutions leveraging the latest models across Japan.

## Requirements
- 4+ years of experience as a Technical Product Manager, Forward Deployed Engineer, or Platform Engineer.
- Native-level Japanese fluency and business-level English.
- Experience designing innovative solutions for technical platforms across Japan.
- Strong technical aptitude and proficiency in Python.
- Recent experience building production systems with large language models.
- Ability to navigate ambiguity, work across domains, and develop simple solutions.
- Strong collaboration, communication, teaching, and mentoring skills.
- Passion for safe and beneficial applications of technology.
- Bachelor’s degree or equivalent combination of education, training, and experience.

## Compensation & Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office environment.
- Visa sponsorship may be available.

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