Lead AI and digital transformation strategy projects for major enterprise clients, including data-driven management, governance, dashboards, solution proposals, project delivery, account planning, negotiation and coordination with data scientists and AI engineers.
About this role
The AI Solutions Engineer supports leading companies with AI transformation from initial vision through implementation, operation, and adoption. The role covers agreement on the transformation vision and success criteria, discovery and structuring of business issues, concept and requirements design, PoC and MVP validation in operational settings, operational design, and production rollout.
At manager level and above, the role oversees multiple projects or an overall account. Responsibilities include aligning with client executives on an AI-first transformation vision and success criteria, taking responsibility for quality, profitability, staffing plans, and risks, and expanding the support scope from quick wins toward broader transformation.
The position also involves redesigning internal and organizational business processes for an AI-first environment, coordinating software, infrastructure, and frontend engineers, and working with internal and client teams to advance roadmaps, schedules, and tasks. Meeting facilitation and the transition of solutions into production operations are included.
Required qualifications include practical knowledge of statistics, machine learning, and deep learning, generally gained through about five years of experience; about five years of experience designing and implementing AI tools using Python or similar technologies; team management experience involving approximately four to five or more people; and experience leading projects through client negotiations, stakeholder consensus, implementation, and deployment from ambiguous requirements. Experience structuring client operations and issues, defining a desired future state and roadmap, and domain knowledge in areas such as manufacturing, finance, or distribution are also listed.
The role additionally cites integrity, respect for others, an ownership-oriented mindset, and a commitment to continuous learning. Preferred experience includes designing and building systems in AWS, Azure, or GCP; building LLM or generative AI applications such as RAG, agents, and evaluation systems; developing algorithms through papers, patents, or self-created tools; full-stack development involving APIs, backend, and frontend; Git and CI/CD-based development operations; implementation design incorporating security and governance requirements; and on-site client support.
The position is full-time and based in Chuo-ku, Tokyo. Remote work is possible.
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