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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Senior AI & Automation Engineer

AutoStore

リモート勤務

勤務地
Remote (United States)
勤務時間
Full Time
掲載日
2026年10月14日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That’s how we help brands exceed customer expectations. We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry’s most complex needs. With AutoStore™, brands gain speed, efficiency, and improved workplaces. And much more floor space. AutoStore – moving things forward. The Role: AutoStore is transforming how we operate, serve customers and partners, and scale our commercial organization. We are looking for a Senior AI & Automation Engineer to build and deploy intelligent solutions that fundamentally improve how work gets done. Your first proving ground will be Sales Support, a global operation with rich data, complex workflows and significant opportunities for AI and automation. From there, the capabilities you build will expand across the broader Commercial organization. This is a hands-on role for someone who can move from business problem → prototype → production → measurable impact. You won't simply automate existing processes. You'll help us rethink them. Key Tasks and Responsibilities: You will design AI-powered capabilities combining agentic AI, automation, enterprise data and workflow orchestration, including: AI agents that understand requests, retrieve knowledge, reason across business rules and recommend or take actions Intelligent case intake, classification, routing and prioritization Automated order and PO quality validation Knowledge and support agents grounded in enterprise data and documentation AI-assisted exception handling and next-best actions Pattern recognition across operational data to identify recurring issues and opportunities Intelligent self-service experiences for employees, partners and customers The goal is simple: less manual work, better decisions, faster execution and better customer and partner experiences. What You'll Own Build Agentic AI — Design, prototype and productionize AI agents and intelligent workflows using LLMs, RAG, tool use, orchestration and human-in-the-loop patterns. Find the Right Problems — Work directly with business teams and operational data to identify friction, repetitive work, rework and high-value opportunities. Challenge unnecessary complexity before automating it. Turn Data Into Intelligence — Use historical and real-time data to uncover patterns and create reusable intelligence for classification, recommendations, knowledge retrieval and decision support. Engineer for Production — Move beyond demos. Build secure, scalable and observable solutions with strong practices around APIs, integrations, testing, evaluation, monitoring and governance. Deliver Measurable Impact — Measure success through outcomes such as cycle time, quality, manual touches, self-service, adoption and capacity created. Scale Across Commercial — Take successful capabilities beyond Sales Support into sales productivity, partner and customer experience, revenue and account intelligence, and digital commercial experiences such as AutoStore Sphere. Key Qualifications: We care more about what you can build and how you think than matching every technology on a checklist. Strong software engineering skills, particularly Python and modern APIs Experience building applications using LLMs, generative AI or agentic AI Experience with RAG, enterprise search, tool/function calling or agent orchestration Strong understanding of data, workflow automation and systems integration Experience taking AI solutions from prototype to production Understanding of AI evaluation, observability, security and responsible AI Ability to turn ambiguous business problems into simple, scalable solutions Curiosity, ownership and a strong bias toward action Experience with Azure, Databricks, Salesforce, SAP, GitHub or modern AI development frameworks is valuable, but the ability to learn, connect systems and ship matters more than any specific technology. We Offer: AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere. Comprehensive Medical, Dental, and Vision plans Health Savings Account (HSA) with a company contribution Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents Retirement 401(k) plan with employer match and discretionary profit sharing contribution Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more! AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Originally posted on Himalayas

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必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

応募前の確認リスト

仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

ResumizeAIから応募が送信されますか?

応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。