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Business Area:
Corp. StrategySeniority Level:
DirectorJob 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 the TeamCloudera’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.
We are 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 the Cloudera platform.
As a Forward Deployed AI Engineer you will:Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases.
Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness.
Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases.
Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow our overall AI capability.
Channel field and customer feedback back to Product teams to continuously improve our AI platform and products.
7+ years of experience building and deploying production-grade systems.
2–4 years of experience specifically focused on building ML systems or GenAI and agentic applications.
Strong hands-on software engineering, data engineering, and applied AI/ML skills.
Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling.
Experience with MLOps frameworks, LLM orchestration, and modern AI stacks (e.g., LangChain, LlamaIndex, vLLM, Ray, MLflow).
Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures.
Background in client-facing consulting, technical account management, or solution architecture within enterprise environments.
Familiarity with distributed data engineering platforms (Apache Spark, Iceberg, Kubernetes).
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-AB1
#LI-Remote
Skills Required
- 7+ years building and deploying production-grade systems
- 2-4 years building ML systems or GenAI and agentic applications
- Strong hands-on software engineering, data engineering, and applied AI/ML skills
- Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling
- Experience with MLOps frameworks, LLM orchestration, and modern AI stacks (e.g., LangChain, LlamaIndex, vLLM, Ray, MLflow)
- Hands-on experience with Vector Databases and RAG architectures
- Familiarity with distributed data engineering platforms (Apache Spark, Iceberg, Kubernetes)
- Background in client-facing consulting, technical account management, or solution architecture in enterprise environments
Cloudera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.
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Fair & Transparent Compensation — Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
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Healthcare Strength — Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
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Leave & Time Off Breadth — Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.
Cloudera Insights
What We Do
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.
Why Work With Us
Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including
