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 hype…
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 hype…
Business Area: Engineering 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 hypersc…
Skills: Software Engineering in Test, Go, Python, Java, Kubernetes
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 hype…
Skills: Machine learning, Generative AI, Python, Data science, Computer vision
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 hype…
Business Area: Sales 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 t…
Business Area: IT 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…
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 hype…
Business Area: Sales Engineering 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 h…
Skills: Technical Sales, Solution Design, Product Demonstrations, Big Data, Data Warehousing
Business Area: Sales Engineering 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 h…
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 hype…
Skills: Applied AI, Strategy, Operations, Data analysis, Sales strategy
Business Area: IT 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…
Skills: IT Asset Management, ServiceNow, CMDB, Service Mapping, Cloud Infrastructure
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…
Skills: Generative AI, Agentic Systems, Full-stack AI Development, RAG, LLMOps
Business Area: Sales 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,…
Skills: Enterprise software sales, Financial services, AI proficiency, Data management, Data analytics
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 hype…
Business Area: Professional Services 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 t…
Business Area: Marketing 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 hyperscal…
Escambia County, Florida, United States · Remote OK
$211k–$235k/yr
Senior+$1.0B raised
Business Area: Marketing 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'…
Washington, District of Columbia, United States · Remote OK
$184k–$230k/yr
Senior$1.0B raised
Business Area: Engineering 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 hypersc…
Skills: Java, SQL Query Optimization, Distributed Systems, Data Structures, Algorithms
Business Area: Engineering Seniority Level: Associate 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, …
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Full-time
Generous PTO Policy, Unplugged Days, Flexible WFH Policy, Mental & Physical Wellness programs, Phone and Internet Reimbursement program, Continued Career Development
Posted 9d ago
~40 hrs/week
Remote in Tokyo, Japan
Responsibilities
The Forward Deployed AI Engineer will build and prototype full-stack AI applications while partnering with strategic customers to drive AI use cases from prototype to production. They will also shape enterprise AI strategy and codify successful solution patterns into repeatable reference architectures.
Requirements
Candidates must have 5+ years of experience in production-grade systems, including 2-3 years in Generative AI or agentic applications. Strong hands-on skills in software engineering, data engineering, and applied AI/ML are required, along with the ability to engage directly with technical and executive audiences.
Full 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 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
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
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
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Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
---------------------------------------------------------------------------------
Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source