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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
Sr 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
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDEs write production-grade software and own outcomes end-to-end, from prototype through enterprise-scale deployment combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.
この求人に応募
応募資格
必須
- 5+ years of non-internship professional software development experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Business level Japanese and basic level English
歓迎
- Experience architecting and delivering complex, multi-component systems in customer production environments
- Experience leading customer-facing technical projects or managing external stakeholder relationships
募集要項最終確認 10/31
- 職種
- AIエンジニア
- 雇用形態
- 記載なし
- 給与
- 記載なし
- 勤務地
- 東京都Tokyo
- 働き方
- 記載なし
- 経験年数
- 5年以上
- 掲載日
- 2026/10/31 11:42（1日前）
- 最終確認
- 2026/10/31 23:42（1日前）
仕事内容
Description
- A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDEs write production-grade software and own outcomes end-to-end, from prototype through enterprise-scale deployment combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes. They create reusable architectures, patterns, and engineering mechanisms that scale the entire FDE practice. Candidates work with customers who develop systems for physical AI.
Lead technical delivery across customer engagements
- Own the technical strategy and execution for complex, multi-workstream customer AI programs. Make architecture decisions that span multiple services and organizational boundaries. Align technical approach with the customer's long-term technology strategy. Requires 30–50% travel.
Architect and build production AI systems at scale
- Design the foundational architectures — multi-agent orchestration, enterprise retrieval systems, decision intelligence platforms — for the most complex customer engagements. Drive clarity where neither the business problem nor technology approach is fully defined. Build production systems that handle enterprise-scale traffic and reliability requirements.
Own production excellence across workstreams
- Define operational standards, evaluation frameworks, and production readiness criteria for AI systems across your engagement scope. Establish mechanisms (testing strategies, observability standards, incident response playbooks) that ensure AI systems remain healthy. Drive operational improvements that raise the bar for the team.
Scale the team's effectiveness
- Define engineering patterns, contribute to the interview and hiring process, and mentor junior FDEs into independent contributors. Coach others on system design, customer engagement, and production operations. Drive engineering excellence standards within your scope.
Accelerate customer transformation
- Identify systemic opportunities to expand AI adoption across the customer organization. Create accelerators and reusable platforms that reduce time-to-value from months to weeks. Feed learnings back into AWS services and the FDE practice.
この求人は、アマゾンジャパン合同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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募集元の採用ページから応募できます
応募はアマゾンジャパン合同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15,781
- AI6,407
- AIエージェント1,125
- 検索拡張生成（RAG）627
- プロンプトエンジニアリング312
- 日本語7,698
- 英語17,785
- アーキテクチャ設計2,216
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15,781
- データエンジニア452
- データアナリスト295