Lead AI Builder

The Lead AI Builder drives company-wide AI-native business development across JMDC and its group companies. The role works with existing business divisions to identify problems that can be addressed with AI, then rapidly develops solutions from prototypes through production implementation. It also evaluates investments based on expected revenue growth or cost reduction, rather than technical correctness alone.

Responsibilities include designing and implementing AI agent and system architectures, including a company-wide AI development platform and infrastructure that enables autonomous agents to operate. The role supports the launch of new departments and the development of an AI engineering organization through internal education, advocacy, recruitment, and training.

The position will promote company-wide use of tools such as Gemini, Claude Code, Cursor, and Dify. It will also help improve AI literacy by developing prompting practices, methods for providing effective context, and agent-oriented ways of working. Another responsibility is to lead the creation of a self-directed development automation platform for JMDC and group-company engineering teams, acting as a supporter and architect.

The role helps teams become independently capable of advancing automation through technical education, guidelines, and shared infrastructure. It identifies common development bottlenecks, including CI/CD optimization, test automation, and data integration, and creates automation components that can be deployed across the group. It also works with operations departments to embed LLM and AI-agent technologies into routine processes and redesign workflows so people can focus on higher-level decisions and core work.

Required qualifications include strong initiative in unfamiliar situations, the ability to involve others, and the ability to complete hands-on implementation. Candidates should have a deep understanding of software architecture, data structures, and performance optimization without depending on a specific programming language. Experience developing LLM applications such as RAG systems, agents, or prompt-engineering solutions is required, or candidates must have a record of substantially improving software-development productivity through daily AI use. The role also requires business judgment and the ability to translate between business and engineering teams, with responsibility for product growth and business KPIs.

Preferred experience includes launching a new business from zero to one, scaling an organization from 10 to 100, developing on large-scale data platforms such as Snowflake, Databricks, GCP, or AWS, knowledge of healthcare, or working at the CTO, VPoE, or founding-member level. The role is based initially at the Tokyo office in Minato, Tokyo. Working hours use a flextime system with core hours from 11:00 to 15:00, standard working time of eight hours per day, and a 60-minute break. Benefits and conditions include social insurance, commuting expenses up to 150,000 yen per month, a corporate defined-contribution pension, employee stock ownership, paid leave, and company holidays.