[Remote] Principal Solutions Engineer - AI Research

Note: The job is a remote job and is open to candidates in USA. Cloudera is a leading company in data management and analytics, empowering organizations to transform complex data into actionable insights. As a Principal Solutions Engineer - AI Research, you will leverage your expertise to develop and deliver AI solutions, engage with clients on technical sales strategies, and innovate methodologies for data-driven decision-making.

Responsibilities

• 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
• 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

Skills

• Experience in engineering, math, computational science, and domain knowledge
• Ability to use quantitative codesign methods to elaborate end-to-end data and software models
• Experience in investigating problems and open questions in a domain
• Ability to design and run computational engineering pipelines for prototyping AI solutions
• Experience in turning results into customer solutions including methodologies, algorithms, technologies, tools, or processes
• Ability to develop and innovate advanced techniques and methods in corpora lifecycle management
• Experience as a strategic advisor on new technologies, methods, and algorithms
• Ability to engage with the community on AI visionary events
• Experience in technical sales strategy for AI solutions
• Ability to demonstrate technology and inspire customers regarding their AI roadmap
• Experience in developing advanced techniques, solutions, and methodologies for customer core business process adoption
• Ability to assist domain experts and data scientists in developing AI solutions
• Experience in defining objectives to curate data, algorithms, and outcomes
• Ability to consult with research scientists on theoretical ideas and practical applications
• Experience in driving the technical sales process from introductory meetings to post-sales success
• Ability to design comprehensive AI solutions using Cloudera technologies
• Experience in presenting product roadmaps and visions to C-level executives
• Ability to create and deliver technical presentations and demonstrations
• Experience in interfacing with Product Management and Engineering to advocate for customer needs
• Ability to participate in external publicity and evangelism

Benefits

• 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.
• Generous PTO Policy
• Support work life balance with [Unplugged Days](https://www.youtube.com/watch?v=eXBMXiUHG8c)
• 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](https://www.youtube.com/watch?v=EHPK_ZRVRHA)
• Employee Resource Groups

Company Overview