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AI Solution Engineer

CayuseUnited States🌍 Remote
Full-timeMid Level
👁️ 0 views📝 0 applicationsPosted 9/6/2026Expires 11/5/2026
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Job Description

The exciting world of scientific research is fueled by people with a passion for solving complex problems. At Cayuse , we are committed to our customers’ success by empowering organizations to conduct globally connected research that advances their impact on science, discovery and society.

We build on that commitment with proven, integrated and easy-to-use technology that delivers exceptional value, and world class service and support that accelerates outcomes. But we are more than just an empowering platform powered by advanced technologies.

We are a collaboration of exceptional, highly skilled people with multi-disciplinary expertise, and are building our team to support our ambitious growth plans. Cayuse ’s foundational strength comes from our customer and employee focused values and commitment to industry-leading solutions.

It’s an exciting time to become a key member of our growing team. Join our remote first culture as an AI Solution Engineer, a consultative, hands-on role focused on identifying where AI can create real operational value and driving those improvements from discovery through delivery.

You will work closely with business leaders and teams across the organization to understand how work gets done, where friction exists, and how AI-assisted tools and process redesign can remove it. This is not a data science or ML engineering role.

It is a technical consulting and delivery role that demands sharp business acumen, strong communication skills, and the engineering ability to build and integrate practical AI-powered solutions.

Responsibilities

As an AI Solution Engineer, you will lead the full cycle of AI-driven improvement — from surfacing opportunities to delivering working solutions. Your success is measured by business impact, stakeholder adoption, and the quality of change you drive. Efficiency Discovery & Process Assessment: Conduct structured discovery sessions with business units to map workflows, identify manual or repetitive processes, and su

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