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東京都のAIエンジニアの求人379件応募資格・募集要項・仕事内容を見る
Modernization Engineer - Forward Deployed Engineer
- 給与
- 記載なし
- 勤務地
- 東京都
- 休日
- 記載なし
- 雇用形態
- 記載なし
どんな仕事かAIによる生成
As a Forward Deployed Engineer, you will work with strategic customers to shape and deliver AI adoption and system modernization solutions, from requirements definition through production deployment and continuous improvement. The role includes building and integrating AI-powered applications and agentic workflows, leading end-to-end delivery, and contributing reusable assets and solution patterns.
この求人に応募
応募資格
必須
- Hands-on software development experience in Python or modern programming languages such as C#, Node.js, or TypeScript.
- Strong software engineering fundamentals, including SDLC, Git/GitHub, APIs, backend services, automated testing, CI/CD, and secure engineering practices.
- Experience designing, building, or integrating AI-powered solutions using agentic AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, AutoGen, CrewAI, or equivalent.
- Solid understanding of AI/ML(Machine Learning) technologies and modern AI architectures, including TensorFlow, PyTorch, Hugging Face, Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
- Experience with cloud-native and distributed systems, including Azure, AWS, or GCP, as well as Docker and Kubernetes.
- Ability to optimize AI-enabled solutions for performance, scalability, reliability, observability, security, and data protection.
- Strong consulting, stakeholder management, and communication skills, with business-level proficiency in both Japanese and English and the ability to translate business requirements into technical outcomes.
歓迎
- Degree in Computer Science, Informatics, Data Science, Engineering or a related field, or equivalent practical experience.
- Real project experience implementing, operating and improving AI, Generative AI, Agentic AI or multi-agent solutions in production environments.
- Experience building full-stack prototypes or production systems using frontend, backend, API(Application Programming Interface), data and cloud services.
- Experience with agent telemetry, observability, evaluation frameworks, guardrails, policy-as-code, knowledge graphs or semantic knowledge layers.
- Experience integrating AI solutions into enterprise systems such as APIs, workflows, data platforms, knowledge repositories and cloud services.
- Experience working with customers in regulated or mission-critical environments where reliability, security and compliance are essential.
- Experience contributing reusable assets, reference implementations, solution patterns, code libraries, delivery playbooks or platform improvements.
応募について
- Even if you don’t meet every requirement, we encourage you to apply.
募集要項最終確認 11/1
- 職種
- AIエンジニア
- 雇用形態
- 記載なし
- 役職
- Senior
- 給与
- 記載なし
- 勤務地
- Tokyo, Japan
- 働き方
- 記載なし
- 福利厚生
- Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences.
- 掲載日
- 2026/10/30 22:27(3日前)
- 最終確認
- 2026/11/01 18:24(1日前)
仕事内容
Your role
- As a Forward Deployed Engineer, you will work closely with strategically important customers to solve complex technical challenges and deliver meaningful business outcomes. By combining engineering, consulting, and product expertise, you will shape and deliver practical solutions focused on AI adoption and system modernization, leading engagements end to end from requirements definition and implementation through production deployment, adoption, and continuous improvement.
- You will also leverage Generative AI, Agentic AI, and multi-agent technologies to create business value in complex enterprise environments.
What you will do
- Partner with customers to understand business challenges, current processes, technical constraints, and desired outcomes, translating them into actionable AI and modernization solutions.
- Facilitate workshops and working sessions with business stakeholders, consulting teams, product teams, and engineering teams to align on solution direction and delivery approach.
- Design, build, and continuously improve AI-powered applications using modern software engineering practices and cloud-native technologies.
- Develop agentic workflows, Generative AI solutions, Retrieval-Augmented Generation (RAG) architectures, enterprise automation capabilities, and production-ready prototypes.
- Lead end-to-end solution delivery, including requirements definition, architecture design, implementation, deployment, adoption, troubleshooting, and optimization.
- Integrate AI solutions with enterprise platforms, APIs, cloud services, data stores, knowledge repositories, vector databases, and business workflows while ensuring performance, scalability, reliability, security, and governance.
- Contribute reusable assets, solution patterns, code libraries, delivery playbooks, and best practices while continuously exploring emerging AI and cloud technologies to enhance customer outcomes and Kyndryl capabilities.
この求人は、キンドリルジャパン株式会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
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- Project Manager
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募集元の採用ページから応募できます
応募はキンドリルジャパン株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
応募資格の語から探す
- テック15,778
- Python5,508
- C#1,763
- Node.js785
- TypeScript2,451
- Git1,306
- GitHub2,369
- API1,860
- テスト自動化602
- CI/CD1,753
- 情報セキュリティ4,159
- AI6,405
- AIエージェント1,127
- LangChain189
- LangGraph98
- 機械学習1,917
- TensorFlow163
- PyTorch298
- 検索拡張生成(RAG)627
- プロンプトエンジニアリング312
- ベクトルデータベース98
- クラウド7,435
- 分散システム201
- Microsoft Azure3,998
- AWS7,001
- Google Cloud3,935
- Docker1,984
- Kubernetes1,178
- 日本語7,691
- 英語17,773
- 要件定義5,403
- 生成AI3,491
- Webエンジニア(フルスタック)996
- データ基盤1,234
- ワークフロー706
- コンプライアンス921
この職種で探す
- AIエンジニア474
- 東京都のAIエンジニア379
- テック15,778
- データエンジニア452
- データアナリスト295