Senior AI Solution Architect

About this role

The Senior AI Solution Architect role involves designing, implementing, and advising on AI solutions and distributed applications. It includes leading complex projects and teams or small cross-functional projects, including situations where business objectives are only partly defined. The role requires developing solution strategies and making logical priority decisions to achieve outcomes with scalability, operational excellence, and cost efficiency. Experience managing engineers or technical teams is required.

Candidates must hold a master's or doctoral degree in computer science, mathematics, statistics, machine learning, or an equivalent quantitative field. A cloud-related technical certification is also required. The role requires experience leading complex projects and delivering results, as well as experience designing, implementing, and consulting on distributed applications.

Technical requirements include implementation experience with the AWS ecosystem, including Bedrock, AgentCore, and SageMaker. Practical experience implementing retrieval-augmented generation using embeddings, vector stores, and semantic-search optimization is required. Candidates must also have experience operating and fine-tuning large and small language models with advanced methods such as LoRA, QLoRA, Instruction Tuning, and RLHF.

The role covers AI architecture in highly regulated or security-sensitive environments, including finance, healthcare, and the public sector. The work location is Tokyo. Applicants who need workplace accommodation or adjustment during the application and hiring process, including interviews or onboarding, are directed to the provided accommodation information. If the relevant country or region is not listed, the posting instructs applicants to contact their Recruiting Partner.