Remote Principal Solutions Engineer - AI Delivery & IP

Cornerstone OnDemand

Houston (TX)

À distance

USD 160 000 - 230 000

Plein temps

Il y a 10 jours
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Résumé du poste

Cornerstone OnDemand is seeking a Principal Solutions Engineer to design, build, and deploy reusable IP that accelerates delivery across Services, Support, and Partners. You will prototype production-grade accelerators, translate AI capabilities into repeatable patterns, and establish reference architectures for regulated environments.

You will convert bespoke work into fixed, scalable offerings, embed AI into delivery workflows, and lead the standardization of frameworks and templates while

Qualifications

  • 8+ years in services/solutions engineering with reusable assets.
  • Hands-on design of technical solutions, integrations, and automation.
  • Fluency with AI-enabled workflows and LLM-based automation.
  • Experience turning bespoke delivery into repeatable offerings.
  • Strong ability to influence stakeholders.
  • Typically requires a Bachelor's degree; advanced degree is a plus.

Responsabilités

  • Design, build, deploy reusable IP for customer deployments.
  • Prototype proofs-of-concept and production-grade accelerators.
  • Translate Cornerstone AI features into delivery patterns.
  • Establish reference architectures for deployment in regulated environments.
  • Convert bespoke work into fixed, repeatable offerings.
  • Embed AI into delivery workflows to accelerate adoption.
  • Define and maintain delivery frameworks and templates.
  • Measure IP effectiveness and iterate assets.

Connaissances

Solutions engineering
AI automation
Productization
Stakeholder communication
Problem solving
Travel willingness

Formation

Bachelor's degree in CS/Engineering/IT
Advanced degree a plus

Description du poste

Cornerstone OnDemand is seeking a Principal Solutions Engineer to design, build, and deploy reusable IP that accelerates delivery across Services, Support, and Partners. You will prototype production-grade accelerators, translate AI capabilities into repeatable patterns, and establish reference architectures for regulated environments.

You will convert bespoke work into fixed, scalable offerings, embed AI into delivery workflows, and lead the standardization of frameworks and templates while

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