Forward Deployed AI Engineer (Senior/Principal) - based in Austria

Cloudera; Österreich; Hybrid; EUR 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Generous PTO

Unplugged Days

Flexible WFH Policy

Wellness programs

Phone and Internet Reimbursement

Career Development

Comprehensive Benefits

Volunteer Time

Employee Resource Groups

Zusammenfassung

Cloudera is seeking a seasoned hands-on AI engineer for the Forward Deployed Engineering team to embed with customers, shape technical direction, and ship enterprise-grade AI applications.

You will develop full-stack AI apps, partner with strategic customers, and help align AI initiatives with business goals. This customer-facing role blends remote and on-site work with up to 20% travel, offering flexible WFH and a comprehensive benefits package.

Qualifikationen

• 7+ years of experience building and deploying production-grade systems, including 2-3 years 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.
• 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).
• The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy.

Aufgaben

• Build & Prototype AI Apps - Develop full-stack AI applications on Cloudera to demonstrate AI and agentic systems for enterprise use cases.
• Partner with Strategic Customers - Work with customer teams to drive AI use cases from prototype toward production readiness.
• Shape Enterprise AI Strategy - Advise customer leaders on AI roadmaps, use case prioritization, and deployment considerations.
• 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.

Kenntnisse

Generative AI

Agentic apps

Full-stack AI

LLMOps

MLOps

Cloud platforms

NVIDIA GPUs

Context engineering

RAG

Security & governance

Tools

Spark

Iceberg

NiFi

Jobbeschreibung

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
• 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 #LI-AC1 #LI-REMOTE