AI Solution Engineer (Money Forward Consulting)

At Money Forward Consulting, we provide products such as “Manageboard” that support corporate growth and governance. Currently, we are in a phase of moving beyond simple operational efficiency to seriously address “advancing management decision-making using AI.”

Specifically, we aim for “autonomous data utilization and decision support by AI agents” in the management control domain, and “automation of issue organizing and risk assessment” in the governance domain. We are seeking an AI Solution Engineer who understands both business and technology and can lead implementation to build solutions that transform the decision-making process for executives by combining our proprietary management data infrastructure with the latest AI technology.

Opportunities

• Contribution to Enterprise Growth
  • Opportunity to engage in AI products that significantly impact Money Forward’s business.
    As Money Forward further strengthens data utilization through AI, the AI Product Development Division plays a crucial role. You will be involved in various projects that can have a major impact on the company’s business. You can also work on new businesses and services centered on data and AI.
    Environment for Growth with the Latest Technology
• Solving users’ essential challenges using AI.
  • You can be involved in everything from hearing about product issues and desired outcomes to considering, implementing, and operating solutions using AI agents. Through building AI mechanisms that utilize critical user data related to finance and treasury, you can deliver value that exceeds expectations and imagination.
• Environment with Freedom and Discretion
  • Working with discretion and reflecting your ideas in the product.
  • As a high-performing, small-scale development team, you can work on in-house product development with significant discretion. The environment encourages engineers to propose ideas freely, allowing you to see your own ideas reflected in the products. Since the products are used by many users, you can directly feel the impact of your AI implementation.
• Growth Opportunities to Expand Career Options
  • Develop deep technical expertise through experience in a wide range of internal business improvement projects.
  • Acquire business skills for driving new projects.
  • Experience global development within a team composed of members from diverse countries and locations.

Tech Stack

• AI: Various AI/ML libraries, various LLM APIs, various AI Agent Services
• Infrastructure: AWS, GCP, Azure
• Server-side: Python, Ruby, Kotlin, TypeScript
• Frontend: React, TypeScript

Responsibilities

You will be responsible for designing and developing AI-powered new features and solutions in the management control and corporate governance domains.

• Design and Development of AI Management Control:
  • Design and implementation of algorithms and applications (such as building RAG) that automate “organizing discussion points for each agenda,” “presenting options,” and “risk assessment” in board meetings and management meetings.
    Building logic for AI to provide advanced insights by integrating internal KPIs, HR information, and external market data.
    Building AI Agents:
• Development of functions where AI agents autonomously refer to and analyze financial data (PL/BS, etc.) and non-financial data to support the decision-making of users (executives and practitioners).
  • Creating environments and implementing data infrastructure integration so that AI can directly refer to and utilize data.
• Technical Realization of Business Requirements:
  • Proposing solutions using AI technology for high-level, abstract business challenges faced by executives and business heads (e.g., “wanting to speed up management decisions,” “wanting to strengthen governance”) and leading from prototyping to product implementation.
• Selection and Verification of Tech Stack:
  • Verifying and selecting Generative AI technologies such as LLMs and machine learning models, and incorporating them into products (Example tech stack: Kotlin, Python, AWS/GCP, BigQuery, etc.).

Requirements

• Experience in the practical application of AI (from problem definition to AI solution selection, model consideration/development, and application to services).
• Experience and understanding of software development.
• Experience in leading or managing small-scale projects.
• Experience using cloud platforms such as AWS, GCP, or Azure.
  In addition to the above, experience in at least one of the following:
  • AI agent development experience.
  • Web service development experience utilizing AI services.
  • Experience in analysis and proposals based on an understanding of the business.

Nice to haves

While not specifically required, tell us if you have any of the following.

• Deep understanding and experience in corporate back-office operations such as accounting, finance, and HR.
• Deep understanding of software development in teams.
• Practical experience with LLMOps.
• AI development experience or development experience using AI tools
• Business or Coversational level Japanese skills

Compensation

¥9,000,000 ~ ¥15,000,000 annually.