前线部署AI工程师
Forward Deployed AI Engineer
业务领域：
公司战略
职级：
总监
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 推动全球大型企业的数字化转型。
Cloudera 的 Forward Deployed Engineering（FDE）功能隶属于 Applied AI 组织，是一个专注于加速 AI 采用的专门 AI/ML 工程团队，服务于我们最重要的企业客户。我们直接与客户合作，快速试点 AI 使用场景，解决现实中的业务挑战，并帮助在企业环境中实现高级 AI 能力。
Cloudera FDE 在客户工程、AI 创新和企业部署的交汇点运作，为客户提供高影响力的 AI 成果，并将解决方案模式标准化以实现规模化交付。
职位简介
Cloudera 正在寻找一位经验丰富的全栈 ML 工程师，能够与客户紧密合作，设计技术使用场景，并在 Cloudera 上交付可扩展的企业 AI/ML 解决方案。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/ML 应用，展示 AI 和代理系统如何解决实际的企业使用场景
- 与战略客户合作 - 直接与客户团队合作，推动 AI 和代理使用场景从早期原型向生产就绪状态发展
- 构建企业 AI 架构 - 为客户领导提供 AI 路线图、解决方案设计、部署和 AI 使用场景方面的建议
- 标准化解决方案模式 - 将成功的模式标准化为可重复使用的参考架构、产品化解决方案、入门套件和内部操作手册
- 放大影响力 - 成为思想领袖，指导 Cloudera 团队，并为提升我们的 AI 能力做出贡献。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 2-4 年有构建 ML 系统或 GenAI/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，有使用现代 AI 框架构建全栈 ML 应用或代理系统的经验
查看英文原文
Business Area:
Corp. StrategySeniority Level:
DirectorJob 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.
Cloudera’s Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML 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 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
We are excited if you have:
- 7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications
- 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
- Bsc/Msc/PhD in related field or equivalent experience
- 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
This role is not eligible for immigration support or relocation.
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