AzureGitHub
業務内容
- Translate business needs into actionable technical opportunities; drive customer outcomes through end-to-end AI solutions.
- Design, build, and deliver production-grade AI solutions in customer environments; maintain strong engineering execution and ownership.
- Operate effectively in ambiguity, delivering iterative, high-impact solutions to accelerate time-to-value.
- Engage and influence senior stakeholders; build trust, align priorities, and guide technical and business decisions.
- Tailor solutions to industry and customer context; ensure clear handoffs and continuity across engagement lifecycle.
- Navigate complex account dynamics with an entrepreneurial mindset; set boundaries, drive urgency and accountability.
- Travel on-site up to 25% to engage with customers.
技術スタック
必須スキル
- 6+ years of technical engineering experience; coding in C, C++, C#, Java, JavaScript, or Python.
- Hands-on AI solution delivery, including building and deploying LLM-based systems; ensure model quality and performance.
- Experience partnering with customers/internal stakeholders to deliver end-to-end solutions.
- Fluency in Japanese and English.
歓迎スキル(該当する場合)
- Experience delivering AI solutions on modern cloud AI platforms (e.g., Azure AI) and applying MLOps practices.
- Enterprise account engagement with cross-functional teams; strong stakeholder management.
- Cloud-architecture and system integration experience; ability to tailor solutions to industry contexts.
キャリア成長観点
- AIエコシステムでの実践的リーダーシップを身につけ、LLMデプロイやクラウドAIの専門性を深められる。
- エンタープライズ規模の顧客対応を通じ、戦略立案・技術決定まで一貫して関与する機会が増え、キャリアの幅が広がる。
- 日本語と英語のバイリンガル環境でのコミュニケーション力・対外折衝力が強化され、将来的にはForward Deployed Engineer/Architect系のリーダー職へ昇進する道が開く。
データ取得日: 2026/9/10