AI Solutions Engineer

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 posting 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. It offers a super-flextime system from 5:00 to 22:00 with no core hours and eight prescribed working hours per day. Remote work is possible. The probationary period is six months from the start date, with no change to salary or benefits. Annual salary is determined based on experience, ability, and previous compensation, includes deemed overtime of 30 hours per month, and is subject to salary review twice a year. Holidays include Saturdays, Sundays, national holidays, five days of year-end and New Year leave, three freely selectable summer-leave days from July to September, and other company-designated days. Benefits include full transportation reimbursement, access to company AI training, provision of a PC and company mobile phone where available, and paid annual leave according to work rules.