Forward Deployed AI Engineer (Senior/Principal Level)

Cloudera; Ireland; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Generous PTO Policy

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement

Job summary

Cloudera is seeking a seasoned Forward Deployed AI Engineer to embed with enterprise customers, designing AI/ML use cases and delivering scalable solutions on Cloudera. You will partner with strategic customers to advance prototypes toward production, shaping enterprise AI architecture and codifying patterns into reusable playbooks.

Role demands 7+ years building production systems and 2–4 years in ML/GenAI. You’ll engage executives, mentor teams, and operate autonomously in dynamic environments.

Qualifications

• 7+ years of experience building and deploying production-grade systems.
• 2-4 years experience building ML systems or GenAI/agentic applications.
• Experience with foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows.
• Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management.
• Experience designing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance).
• Ability to engage directly with customers, technical and executive audiences, translating needs into actionable strategy.
• High agency with the ability to operate autonomously 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

Responsibilities

• Embed with customers to design technical use cases and deliver scalable AI/ML solutions.
• Build & prototype AI apps on Cloudera to demonstrate enterprise capabilities.
• Shape enterprise AI architecture and advise on roadmaps and deployment.
• Codify patterns into repeatable reference architectures and starter kits.
• Mentor teams and contribute to internal enablement and tooling.
• Channel feedback to Product teams to improve the AI platform.

Skills

Full-stack ML development

Customer engagement

Autonomous work

Mentorship and enablement

Education

BSc/MSc/PhD in a related field or equivalent

Tools

AWS

Azure

GCP

NVIDIA GPUs

Spark

Iceberg

NiFi

Job description

Business Area: Corp. Strategy Seniority Level: Director 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 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

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.

Occasional travel may be required for on-site customer engagement, industry events, and team meetings - up to 20% depending on business needs.

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-AO1 #LI-REMOTE