Cloudera logo
Cloudera

At Cloudera, we believe that data can make what is impossible today, possible tomorrow.

Principal Solutions Engineer – Artificial Intelligence

Solutions EngineerSolutions EngineerFull TimeRemoteLeadTeam 1,001-5,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

Singapore

Posted

55 days ago

Salary

0

Seniority

Lead

Job Description

Principal Solutions Engineer – Artificial Intelligence

Cloudera

• develop advanced techniques, solutions, and methodologies for customer core business process adoption • assist domain experts, scientists, data scientists and technical engineers to develop AI Solutions to meet organizational objectives to include Computational Engineering • work with clients to define objectives to curate data, algorithms, and outcomes; setup training pipelines, large-scale customer experiments, and evaluate models for production deployment • consult with research scientists on the art of the possible and invention of new theoretical ideas, and or the practical application of theories to drive a computational engineering solution pipeline • Drive the technical sales process from introductory meetings and discovery through to post-sales success, upselling, and subscription renewals. • Design comprehensive solutions for customer needs using Cloudera technologies—specifically Cloudera AI, AI Inference, AI Studios, and AI Workbench—based on reference architectures and common patterns. • Present Cloudera’s product roadmap and vision to C-level executives (CIO, CTO, CDO), demonstrating how AI Agents and Cloud Bursting accelerate enterprise AI adoption. • Create and deliver inspiring technical presentations and demonstrations that compel customers to say “yes” to Cloudera. • Interface with Product Management and Engineering to advocate for your customers' needs, transforming feedback from the field into actionable roadmap items. • Participate in external publicity and evangelism, including speaking at conferences, writing blogs, and leading webinars to drive the narrative around trusted Enterprise AI.

Job Requirements

  • A minimum of 8 years of experience in a customer-facing role, ideally in a pre-sales or solutions engineering context.
  • Deep experience with Data Engineering, Data Science, or Machine Learning.
  • Proficiency with one or more major cloud service providers (AWS, Azure, or GCP) and an understanding of hybrid deployment factors (public vs. private cloud).
  • You understand that a Data Lake is more than just a storage dump.
  • You are well-versed in the problems of Operations, Security, and Data Governance required to make AI safe for the enterprise.
  • Experience with Big Data, Data Warehousing (e.g., Iceberg), or Relational Databases, as well as familiarity with Unix/Linux environments.
  • Excellent written and verbal communication skills, with the ability to whiteboard complex architectures and gather business requirements effectively.
  • A willingness to learn, a curiosity to discover new use cases for Cloudera technology, and a drive to make your customers successful.

Benefits

  • 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

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