Principal Solutions Engineer - AI Research

Posted Yesterday
7 Locations
In-Office or Remote
198K-247K Annually
Senior level
Big Data • Software • Analytics
The Role
Customer-facing principal solutions engineer who researches, prototypes, and architects enterprise AI solutions. Designs and runs training pipelines and large-scale experiments, develops model tuning, agent inferencing, and corpora lifecycle methods, and drives the technical sales lifecycle while advising product and engaging customers and community through demos, evangelism, and strategic consultation.
Summary Generated by Built In

Business Area:

Sales Engineering

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 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.

Principal Solutions Engineer - AI Research

We are on a mission to make data and analytics easy and accessible to everyone. The work we do empowers any organization—from the world's largest enterprises to small nonprofits—to use data to solve some of the most complex challenges that impact businesses, communities, and lives.

As the Principal Solutions Engineer - AI Research, you will use engineering, math, computational science, domain knowledge, and scientific methods to: 

  • Approach the customer with quantitative codesign methods to include elaborating end-to-end data and software models based on domain use case, evaluate source inputs, evaluate constraints, evaluate likely outcomes, topological operational data metrics and boundary values, and computational needs (tractable or intractable problem)

  • Investigate problems and open questions in a domain to further understand the computational engineering needs of specific problems and the capabilities of Cloudera to serve those needs

  • Design and run computational engineering pipelines for prototyping AI solutions that clients target for production implementation

  • Turn promising and practical results into customer solutions to include methodologies, algorithms, technologies, tools, or processes

  • Develop and innovate advanced techniques and methods in corpora lifecycle management, domain skills definition, model development and tuning, agent development and inferencing

  • Strategic Advisor to Cloudera Engineering on new technologies, methods, and algorithms required in the product to keep Cloudera competitive in AI

  • Engage with the community on the art of the possible, AI visionary events to inspire clients to build AI solutions on Cloudera

At Cloudera, we are Customer Driven & People First. We believe in the power of our people because when we bring together bold ideas, collaboration, and purpose, we do not just imagine the future—we help build it.

The Role:

This position will serve as a customer-facing, hands-on technologist with a track record of success. You will be the technical authority for Cloudera’s Enterprise AI portfolio, bridging the gap between complex data architectures and actionable AI business outcomes.

In this senior individual contributor role, you will own the technical sales strategy for the industry’s only platform bringing AI to data anywhere. You will not only demonstrate technology but also inspire customers to think bigger about their AI roadmap, ensuring they understand the value of the Open Data Lakehouse and Unified Data Fabric.

What You Will Do

  • Innovation Lifecycle - develop advanced techniques, solutions, and methodologies for customer core business process adoption

  • Research Engineering - 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

  • Research Consultation - 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

  • Own the Technical Sales Lifecycle: Drive the technical sales process from introductory meetings and discovery through to post-sales success, upselling, and subscription renewals.

  • Architect AI Solutions: 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.

  • Strategic Evangelism: 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.

  • Demonstrate Value: Create and deliver inspiring technical presentations and demonstrations that compel customers to say “yes” to Cloudera. Partner with Account Managers to articulate the true business value of our solutions.

  • Voice of the Customer: Interface with Product Management and Engineering to advocate for your customers' needs, transforming feedback from the field into actionable roadmap items.

  • Community Leadership: Participate in external publicity and evangelism, including speaking at conferences, writing blogs, and leading webinars to drive the narrative around trusted Enterprise AI.

The anticipated annual base salary range for this position is:

  • New York: $198,000 - $247,000

  • California: $198,000 - $247,000

  • Colorado: $198,000 - $247,000

  • Illinois: $198,000 - $247,000

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 sponsorship. 

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

EEO/VEVRAA

#LI-MH2

#LI-Remote

Skills Required

  • Customer-facing, hands-on technologist with a track record of success
  • Technical authority for enterprise AI, bridging data architectures to AI business outcomes
  • Experience with Cloudera technologies (Cloudera AI, AI Inference, AI Studios, AI Workbench)
  • Designing and running training pipelines, large-scale experiments, and evaluating models for production deployment
  • Expertise in model development and tuning, agent development, and inferencing
  • Experience in corpora lifecycle management and domain skills definition
  • Ability to drive technical sales lifecycle from discovery through post-sales, upsell, and renewals
  • Experience presenting to and influencing C-level executives (CIO, CTO, CDO)
  • Research engineering or computational engineering experience to consult on theoretical and practical AI solutions
  • Community leadership and external evangelism (speaking, blogs, webinars)

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Leave & Time Off Breadth Time off includes generous PTO and holidays plus recurring company‑wide Unplugged Days that provide regular recharge time. Volunteer time off and flexible scheduling options further expand usable leave.
  • Healthcare Strength Health coverage spans comprehensive medical, dental, and vision alongside EAP, wellness sessions, and U.S. gym reimbursement. These elements position healthcare as a strong anchor within the package.
  • Strong & Reliable Incentives Compensation often includes variable incentives and long‑term incentive programs with annual bonuses commonly offered. Sales and other revenue roles show competitive on‑target earnings when goals are met, reinforcing the incentive structure.

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The Company
HQ: Palo Alot, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,

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