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Forward Deployed AI Engineer

Cloudera•Austria•🌍 Remote
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 9/19/2026•Expires 11/18/2026
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Job Description

Business Area: Corp. Strategy Seniority Level: Mid-Senior level Job 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 Multipl

Required Skills

AIfull-stack developmententerprise applicationscustomer engineeringagentic systemsAI roadmapsuse case prioritizationdeployment considerationsreference architecturesproductized solutionsstarter kitsinternal playbooks

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