Forward Deployed AI Engineer (Senior/Principal Level)
AI summary of the role
Cloudera's Forward Deployed Engineering team embeds AI/ML engineers directly with strategic enterprise customers to pilot and productionize AI and agentic use cases on the Cloudera platform.
What you’ll do
- Build and prototype full-stack AI/ML applications on Cloudera to demonstrate enterprise AI use cases
- Partner directly with strategic customers to drive AI and agentic use cases from prototype to production
- Advise customer leaders on AI roadmaps, solution design, deployment, and use cases
- Codify successful patterns into reference architectures, productized solutions, starter kits, and internal playbooks
What you’ll bring
- 7+ years building and deploying production-grade systems, including 2-4 years in ML systems or GenAI/agentic applications
- Strong full-stack ML engineering and data engineering skills with modern AI frameworks
- Experience with foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows
- Deep understanding of LLMOps/MLOps: evaluation, observability, serving, monitoring, lifecycle management
Technologies
full-stack ML · GenAI · agentic systems · RAG · LLMOps · MLOps · foundation models · fine-tuning · semantic search · NVIDIA GPUs · Spark · Iceberg
About Cloudera
Hybrid data-and-AI platform letting the world's largest enterprises store, govern and run analytics plus GenAI on-prem and across clouds, built on open-source big-data tech.
Private Late · 2000–5000 people
Source and classification
Production engineering · Evidence for this classification:
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
More from the 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 [... source excerpt omitted ...] 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 [... source excerpt omitted ...] erience 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 E
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