Cloudera

Forward Deployed AI Engineer

Cloudera$150K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience building and deploying production-grade systems, including 2-3 years in Generative AI or agentic applications
  • Strong software engineering and applied AI/ML skills with full-stack AI application experience
  • Knowledge of foundation models, context engineering, fine-tuning, and agentic workflows
  • Expertise in LLMOps/MLOps practices including evaluation, observability, and lifecycle management
  • Experience in designing scalable AI architectures that comply with enterprise standards
  • Ability to translate customer needs into actionable technical strategies
  • High agency and ability to work autonomously in fast-moving environments
  • Collaborative mindset with a passion for mentorship and enabling others

Responsibilities

  • Build and prototype enterprise-level AI applications for real-world use cases
  • Partner with strategic customers to move AI prototypes toward production readiness
  • Advise customer leaders on AI roadmaps and align initiatives with business goals
  • Standardize successful AI patterns into reusable architectures and productized solutions
  • Mentor teams and channel customer feedback to improve AI offerings

Benefits

  • Generous PTO Policy
  • Unplugged Days to support work-life balance
  • Flexible work-from-home policy
  • Mental and Physical Wellness programs
  • Phone and Internet reimbursement
  • Access to continued career development
  • Comprehensive benefits and competitive packages
  • Paid volunteer time
  • Employee Resource Groups
Full Job Description
Business Area:
Corp. Strategy

Seniority Level:
Director

Job Description:

Cloudera is looking for a seasoned hands-on AI engineer who can embed with customers, shape technical direction, and ship elegant, scalable, enterprise-quality AI applications.

As a Forward Deployed AI Engineer you will:
  • Build & Prototype AI Apps - Develop full-stack AI 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 Strategy - Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations, and align AI initiatives with business goals
  • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
  • Multiply impact - 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:
  • 5+ years of experience building and deploying production-grade systems, including 2-3 years experience building Generative AI or agentic applications
  • Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack AI 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


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


#LI-REMOTE

#LI-AO1

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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