Lead enterprise-wide digital transformation strategy and execution across Mizuho Securities and the financial group. Manage AI, data, and business reform projects, coordinate stakeholders, report to executives, and mentor DX personnel.
About this role
The AI Engineer develops internally produced AI applications and agents for enterprise-wide AI transformation in financial services. Responsibilities include building business-specific AI agents and coordinating multiple agents to automate business processes; designing, implementing and testing generative-AI web applications; improving output quality through prompt design and prompt engineering; and evaluating, improving and operating generative-AI applications and agents.
The role also involves developing, executing and evaluating proofs of concept using generative-AI infrastructure centered on AWS, including Amazon Bedrock. Example projects include evaluating AI models and plugins, developing internal applications such as interview-record and meeting-minutes tools, considering low-code and no-code tools, investigating model enhancement including fine-tuning, and building and evaluating proprietary models. Products described in the posting include an iOS/Web application for drafting meeting records, a slide-generation service, a web research and report-generation service, and a sales-support agent.
Required qualifications include approximately two to three years of frontend or backend development experience using technologies such as TypeScript or Python, approximately two to three years of backend or infrastructure development experience using Python or cloud platforms, or development experience in AWS, Azure or GCP. Applicants should also want to work on high-impact business-efficiency initiatives using generative AI. Experience with modern TypeScript frameworks such as Next.js and React, Python frameworks such as FastAPI, Flask and Django, generative-AI system development, prompt engineering or tuning, and team development with five or more members is welcomed.
Named technologies include TypeScript, Python, Next.js, React, Vue.js, FastAPI, Streamlit, Assistants API, Agents SDK, Strands Agents SDK, LangChain, LangGraph, Vertex AI, AWS, S3, ECS, ElastiCache, Terraform, CDK, Bedrock, Bedrock Agentcore, Jest, Pytest, Playwright, GitHub, Teams, Slack, Jira and Confluence.
The position is full-time and permanent, with a six-month probationary period and the same salary during probation. The work location is Tokyo, with hybrid office and remote work. Standard hours are 8:40 to 17:10, including a 60-minute break and 7.5 scheduled working hours; flextime may apply depending on the department. Salary is determined under company regulations. Benefits include commuting support, lunch support, social insurance, an employee shareholding plan, childcare-related support, housing-related programs, financial-asset formation support and leisure support. Weekends, public holidays, year-end and New Year holidays, annual paid leave and other special leave are provided.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design and deploy global cybersecurity policies and controls for overseas offices and subsidiaries, coordinating governance, incident response, and cyber-intelligence sharing with regional security leaders.
Plan and advance cybersecurity measures, respond to incidents, monitor attacks, assess cyber risk, and coordinate security activities with overseas offices. The role requires systems-related experience involving cybersecurity or information security.
Lead the server construction group for Rakuten Life Insurance, focusing on system infrastructure design and management.
Develop web products in a long-term engineering internship, contributing to backend or frontend features and generative-AI development for LegalOn, WorkOn, or TomoniAI.
Develop and operate the Go/gRPC backend for MOVO Berth, a logistics SaaS berth-booking product. Shape architecture and technology choices while improving reliability, performance, and cost.