Lead AI transformation projects from vision and requirements definition through PoC, implementation, operations, and adoption. Manage multiple client engagements, teams, quality, profitability, staffing, risks, and stakeholder alignment.
About this role
As an AI Solutions Engineer, this role supports large Japanese companies and industry leaders in using AI, from concept and implementation through operation and adoption. Working under senior team members, the engineer carries out assigned tasks such as PoC and MVP implementation, data preparation and issue organization, while learning the customer's operations on site.
Work includes agreeing success conditions such as quality, cost and delivery with customers and building value hypotheses around data and algorithms; identifying the core issues that block the customer's vision and weighing business requirements against technical feasibility; designing realistic processes and teams for PoCs and MVPs and repeating verification and feedback; and leading business design for production rollout.
Applicants need practical knowledge of statistics, machine learning and deep learning and experience designing and implementing AI tools in Python or similar (each roughly one year or more), project experience that includes customer negotiation, and integrity, respect for others and a habit of continuous learning. Preferred experience includes cloud system design on AWS, Azure or GCP and LLM applications.
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