Forward Deployed AI Engineer
# Forward Deployed AI Engineer **Ｃｌｏｕｄｅｒａ株式会社** · 東京都 中央区 京橋 · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role 仕事内容: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. アピールポイント: - Generous PTO Policy - Support work life balance with - Flexible WFH Policy - Mental & Physical Wellness programs - Phone and Internet Reimbursement program - Access to Continued Career Development - Comprehensive Benefits and Competitive Packages * - Employee Resource Groups 求める人材: About the role Cloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera. As a Forward Deployed AI Engineer, you will: - Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases - Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness - Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases - Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks - Multiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products - Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling - Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows - Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management - Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.) - The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy - High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments - A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling 勤務時間・曜日: - Full-Time, regular employees (30 hours per week) 休暇・休日: Holidays shall be as follows: i. Saturdays and Sundays (Sundays are statutory holidays); ii. Holidays as defined in the Act on National Holidays; iii. New Year's Holidays as determined by the Company from time to time; and New Year’s Holidays from 28 December to 3 January (If any days fall on weekend, no off in lieu will be granted); and iv. Days otherwise determined by the Company. その他: Job Type: Full-time Pay: From 22,080,000円 per year Average number of scheduled working hours (monthly): 120 hour(s) 6 minute(s)
Наблюдалась 2026-10-07, впервые 2026-10-06, источник — Indeed.