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Lead AI Engineer (リードAIエンジニア), Japan

Lead AI Engineer (リードAIエンジニア), Japan

BjakJP
30+ days ago
Job type
  • Quick Apply
Job description

AIを共に創ろう

BJAKでは、詐欺検出、リスクモデリング、超パーソナライズされた金融体験まで、実社会の課題を解決するためにAIを活用しています。保険や金融サービスをより多くの人に届けるためのインテリジェントシステムの構築・拡張を担う、

  • Lead AI Engineer(リードAIエンジニア)

AI責任者直下 のテクニカルリーダーシップポジションであり、戦略の策定からチームの育成、プロダクションコードの実装まで幅広く担っていただきます。

  • AIシステムの設計・展開を主導
  • AI責任者の右腕として技術的な意思決定と標準化を推進
  • AIエンジニアチームの採用・拡張にも深く関与
  • AI / MLモデルの設計・構築・リリース
  • AI戦略を推進
  • MLライフサイクルを一貫して管理
  • AIベストプラクティスの推進
  • ML技術のキャッチアップと本番環境への適用
  • AI / MLエンジニアリングでの実務経験4~6年(実運用への展開経験を含む)
  • Pythonスキル、TensorFlow、PyTorch、Scikit-learn等のフレームワークに精通
  • MLライフサイクルに関する知識
  • AI領域での実績
  • MLflow、Airflow、Docker、GCP / AWSなどのMLOpsツール経験
  • AIに関する知識
  • MLコンポーネント、AIプラットフォームの構築経験
  • AI責任者直下でのリーダーシップ経験と経営層との接点
  • AIチームの中核として活躍・育成に携われるチャンス
  • BJAKについて

    BJAKは、東南アジア最大のデジタル保険プラットフォームです。マレーシアに本社を構え、 タイ・台湾・日本 を含む地域で、数百万人のユーザーに手頃で透明性のある金融保障を提供しています。

    AI、自動化、スマートAPIを駆使して、複雑な金融サービスをより迅速に、誰もが利用できる形に変革しています。パーソナライズ価格エンジンから詐欺検出まで、私たちは"実際に役立つ"テクノロジーを信じています。

    Working Arrangement : Japan (Remote - work from anywhere in Japan)

    Shape AI That Powers the Future of Financial Access Across Southeast Asia

    At BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Japan to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.

    This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.

    Why This Role Matters

  • You’ll design and deploy core AI systems that serve millions across the region
  • You’ll be the right hand to the Head of AI — driving technical execution and engineering standards
  • You’ll lead and mentor junior engineers to elevate team performance and capabilities
  • You’ll play a critical role in hiring and scaling a high-performance AI team
  • What You’ll Do

  • Design, build, and ship production-grade ML models for high-impact use cases
  • Lead model architecture, data pipeline design, and deployment strategies
  • Collaborate across product, engineering, and data teams to drive AI initiatives
  • Own the end-to-end ML lifecycle — from data prep to deployment and monitoring
  • Review code, guide projects, and mentor engineers through technical challenges
  • Champion experimentation, continuous learning, and AI best practices
  • Interview and evaluate candidates, contributing to technical hiring and team building
  • Stay ahead of ML advancements — and bring cutting-edge solutions into production
  • You’ll Thrive Here If You...

  • Lead from the front - you’re hands-on in code, but always lifting others
  • Think like an owner - you don’t wait for permission to solve a problem
  • Operate at speed and depth - you make fast, sound decisions that balance trade-offs
  • Push for clarity - even in chaos, you bring structure, direction, and accountability
  • Care about what ships - you focus on solving real-world problems, not just academic ones
  • Grow the team, not just the tech - you enjoy mentoring, coaching, and seeing others win
  • Adapt fast - priorities shift, ambiguity is the norm, and you navigate both with confidence
  • Have a builder’s mindset - fast prototypes, strong opinions, and a hunger to iterate
  • Keep learning - you’re constantly leveling up your technical, product, and leadership game
  • Requirements

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 4–6 years of experience in AI / ML engineering with real-world deployment experience
  • Strong Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of the end-to-end ML lifecycle : data pipelines, training, validation, monitoring
  • Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
  • Track record of technical leadership and mentoring engineers
  • Excellent communication and collaboration skills
  • Must be based in Japan and open to working remotely with regional teams
  • Nice to Have

  • Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP / AWS)
  • Familiarity with responsible AI practices (fairness, interpretability, model governance)
  • Startup or scale-up environment experience
  • Exposure to building internal tools, reusable ML components, or AI platforms
  • What You’ll Get

  • Competitive salary and performance-based bonuses
  • Fully remote and flexible work arrangement from anywhere in Japan
  • High ownership role with impact visible at a regional scale
  • Direct reporting line to Head of AI with exposure to senior leadership
  • Opportunity to lead and shape a growing AI engineering team
  • Fast-track career growth and learning opportunities in a high-speed environment
  • Collaborative, flat culture where ideas move fast and great work gets noticed
  • About BJAK

    BJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.

    We believe in technology that moves fast and serves real needs - from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.

    If you’re ready to build, lead, and scale AI that matters - and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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    Engineer Japan • JP