Principal Solutions Engineer – Artificial Intelligence

This is a fully remote position, open to applicants in Singapore.

📋 Description

• Develop innovative techniques, solutions, and methodologies to enhance customer core business process adoption.

• Collaborate with domain experts, scientists, data scientists, and technical engineers to create AI Solutions that align with organizational goals, including Computational Engineering.

• Partner with clients to outline objectives for curating data, algorithms, and outcomes; establish training pipelines, conduct large-scale customer experiments, and assess models for production deployment.

• Consult with research scientists on the possibilities and invention of new theoretical concepts, as well as the practical application of theories to foster a computational engineering solution pipeline.

• Lead the technical sales process from initial meetings and discovery through to post-sales success, upselling, and subscription renewals.

• Design tailored solutions for customer requirements utilizing Cloudera technologies—particularly 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), showcasing how AI Agents and Cloud Bursting can expedite enterprise AI adoption.

• Create and deliver engaging technical presentations and demonstrations that encourage customers to commit to Cloudera.

• Collaborate with Product Management and Engineering to represent customer needs, turning field feedback into actionable roadmap items.

• Engage in external publicity and advocacy, including speaking at conferences, writing blogs, and leading webinars to promote the narrative surrounding trusted Enterprise AI.

⛳️ Requirements

• At least 8 years of experience in a customer-facing role, preferably in a pre-sales or solutions engineering environment.

• Extensive background in Data Engineering, Data Science, or Machine Learning.

• Proficient with one or more leading cloud service providers (AWS, Azure, or GCP) and knowledgeable about hybrid deployment considerations (public vs. private cloud).

• Understanding that a Data Lake encompasses more than merely a storage repository.

• Familiarity with the challenges of Operations, Security, and Data Governance necessary for ensuring AI safety within the enterprise.

• Experience with Big Data, Data Warehousing (e.g., Iceberg), or Relational Databases, along with a good grasp of Unix/Linux environments.

• Exceptional written and verbal communication skills, capable of effectively whiteboarding complex architectures and gathering business requirements.

• A proactive learning attitude, a desire to explore new use cases for Cloudera technology, and a commitment to customer success.

🏝️ Benefits

• Generous PTO Policy

• Support for work-life balance with Unplugged Days

• Flexible Work From Home 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