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

Cloudera

United States

Hybrid

USD 150,000 - 210,000

Full time

6 days ago

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Benefits offered by this job

Generous PTO Policy

Unplugged Days

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement

Continued Career Development

Comprehensive Benefits and Competitive

Paid Volunteer Time

Employee Resource Groups

Job summary

Cloudera is seeking a seasoned Forward Deployed AI Engineer to embed with customers, shape technical direction, and deliver scalable AI applications. You will work directly with enterprise teams to pilot use cases, drive production readiness, and align AI initiatives with business goals.

You will develop full-stack AI apps, codify reference architectures, and mentor teams while collaborating across product and customer teams. Occasional travel up to 20% is expected.

Qualifications

7+ years of experience building and deploying production-grade AI systems.
Hands-on software engineering, data engineering and applied AI/ML skills.
Experience with foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows.
Deep understanding of LLMOps/MLOps including evaluation, observability, serving and lifecycle management.
Experience designing scalable AI solution architectures aligned to enterprise standards.

Responsibilities

Embed with customers to rapidly pilot AI use cases and deliver enterprise AI capabilities.
Develop full-stack AI applications to demonstrate AI and agentic solutions for real business needs.
Advise customer leaders on AI roadmaps and deployment considerations.
Codify patterns into repeatable architectures and starter kits.
Mentor teams and contribute to reusable tooling and platform improvements.

Skills

Hands-on software engineering

Data engineering

Applied AI/ML

Full-stack AI applications

LLMOps/MLOps

Enterprise AI architecture

Customer-facing engagement

Autonomy in ambiguous environments

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
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: