Cloudera

Forward Deployed AI Engineer (Senior/Principal Level)

Cloudera$198K — $247K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in production-grade systems, 2-4 years in ML systems or GenAI/agentic applications
  • Strong software engineering, data engineering, and applied AI/ML skills in full-stack ML applications
  • Experience with foundation models, context engineering, and agentic workflows
  • Deep understanding of LLMOps/MLOps practices
  • Experience in designing scalable AI architectures adhering to enterprise standards
  • Ability to engage with technical and executive customer audiences
  • High agency and adaptability to fast-moving environments
  • Collaborative mindset and passion for mentorship
  • BSc/MSc/PhD in a related field or equivalent experience

Responsibilities

  • Build and prototype AI applications on Cloudera for enterprise use cases
  • Partner with strategic customers to drive AI projects from prototype to production
  • Advise customers on AI architecture, roadmaps, and deployment
  • Codify and standardize successful AI solution patterns
  • Serve as a thought leader and mentor to enhance Cloudera's AI capabilities
  • Channel customer feedback to improve AI platform products

Benefits

  • Generous PTO policy
  • Support for work-life balance
  • Flexible work-from-home policy
  • Access to mental and physical wellness programs
  • Phone and internet reimbursement program
  • Opportunities for continued career development
  • Comprehensive benefits and competitive packages
  • Employee resource groups
Full Job Description

Business Area:

Corp. Strategy

Seniority Level:

Director

Job Description:

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

The anticipated annual base salary range for this position is:

New York & California: $198,000-$247,500

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

This role is not eligible for immigration support or relocation.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Employee Resource Groups

About Cloudera

Cloudera is a software company that provides a unified platform for data management and analytics. The company's platform enables organizations to store, process, and analyze large amounts of data in a variety of formats, including structured, semi-structured, and unstructured data. Cloudera's platform is used by some of the world's largest and most innovative organizations, including Airbus, Credit Suisse, and Expedia. The company was founded in 2008 and is headquartered in Palo Alto, California.
Learn more about Cloudera
Size
2,728 employees
Market Cap
$4.6 billion
Industry
Net Income
-$162.7 million
Founded
2008
5 Year Trend
+39.2%
Revenue
$869.2 million
NASDAQ

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