Forward Deployed AI Engineer

Cloudera
Austria
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Information Engineering Performance Tuning Cloudera Search Technologies Software Engineering AI Infrastructure Graphics Processing Unit (GPU)
+8 more
Google Cloud Large Language Models Multi-Agent Systems Apache Spark Generative AI AI Platforms Apache Nifi Machine Learning Operations

Job description

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

Requirements

  • 5+ 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

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

Benefits & conditions

  • 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

About the company

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.

Apply for this position

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