远程工作雷达

前进部署人工智能工程师(高级/资深级别)- 基于捷克/波兰

Forward Deployed AI Engineer (Senior/Principal Level) - based in Czechia/Poland/

AI开发工程未标注地域日间重叠约 2 小时,需偶尔早起或晚睡
公司Cloudera
薪资未公开
工作地点Czechia
地域资格未标注地域
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
前往 Himalayas 查看并投递 →
作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

业务领域:
企业战略
职级:
中高级职位
职位描述:
在 Cloudera,我们赋能人们将复杂的数据转化为清晰且可操作的洞察。在管理的数据量与超大规模云服务商相当的情况下,我们是几乎所有行业中顶级公司的首选数据合作伙伴。依托开源社区的持续创新,Cloudera 推动全球最大企业的数字化转型。
关于 Cloudera 的 Forward Deployed Engineering(FDE)
Cloudera 的 Forward Deployed Engineering(FDE)职能位于 Applied AI 组织内,是一个专注于加速 AI 在我们最重要的企业客户中采用的专门 AI 工程团队。我们直接嵌入客户团队,快速试点 AI 用例,解决现实中的业务挑战,并帮助在企业环境中实现先进的 AI 能力。Cloudera FDE 工程师在客户工程、AI 创新和企业部署的交汇点工作,为客户提供高影响力的 AI 成果,并制定可重复交付的解决方案模式。
职位简介
Cloudera 正在寻找一位经验丰富的、亲自动手的 AI 工程师,能够嵌入客户团队,塑造技术方向,并交付优雅、可扩展、企业级质量的 AI 应用。作为 Forward Deployed AI 工程师,您将:

  • 构建与原型开发 AI 应用 - 在 Cloudera 上开发全栈 AI 应用,展示 AI 和代理系统如何解决实际的企业用例
  • 与战略客户合作 - 直接与客户团队合作,推动 AI 和代理用例从早期原型向生产就绪状态发展
  • 塑造企业 AI 战略 - 为客户领导层提供 AI 路线图、用例优先级、部署考虑因素的建议,并确保 AI 计划与业务目标一致
  • 标准化解决方案模式 - 将成功的模式标准化为可重复的参考架构、产品化解决方案、入门套件和内部操作手册
  • 扩大影响力 - 指导 Cloudera 团队,贡献资源以提升我们的 AI 能力。将现场和客户反馈传递给产品团队,以改进我们的 AI 平台和产品

我们期待您具备:

  • 7 年以上构建和部署生产级系统的经验,其中 2-3 年有构建生成式 AI 或代理应用的经验
  • 强大的动手软件工程、数据工程和应用 AI/ML 技能,有构建全栈系统的经验
查看英文原文

Business Area:
Corp. StrategySeniority Level:
Mid-Senior levelJob Description:
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.
About Forward Deployed Engineering (FDE) at Cloudera
Cloudera’s Forward Deployed Engineering (FDE) function sits within the Applied AI org, and is a specialized AI engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments. Cloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.
About the role
Cloudera is looking for a seasoned hands-on AI engineer who can embed with customers, shape technical direction, and ship elegant, scalable, enterprise-quality AI applications. As a Forward Deployed AI Engineer you will:

  • Build & Prototype AI Apps - Develop full-stack AI 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 Strategy - Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations, and align AI initiatives with business goals
  • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
  • Multiply impact - 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

We are excited if you have:

  • 7+ years of experience building and deploying production-grade systems, including 2-3 years experience building Generative AI or agentic applications
  • Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack AI 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
  • This is a customer-facing role combining remote and in-person engagement. Occasional travel may be required for on-site customer engagement, industry events, and team meetings - up to 20% depending on business needs.

You may also have:

  • Experience with cloud technologies (AWS, Azure, GCP)
  • Experience using the Cloudera platform
  • Experience with open source big data technologies like Spark, Iceberg, NiFi, etc
  • Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads

What you can expect from us:

  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

EEO/VEVRAA
Originally posted on Himalayas

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