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。