Remote Principal AI Delivery Architect

African American Talent; Newark (NJ); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Cornerstone OnDemand seeks a Principal Solutions Engineer to design and build repeatable AI-enabled delivery IP. You will embed accelerators, playbooks, and templates into Services, Support, and Partner solutions, enabling scalable customer outcomes across regulated industries.

You will translate new Cornerstone capabilities into repeatable deployment patterns, co-create reference architectures, and lead cross-functional collaboration to raise delivery quality and velocity.

Qualifications

• 8+ years in services/solutions engineering or related roles.
• Hands-on ability to design and build technical solutions in enterprise SaaS.
• Fluency with AI/automation tooling and applying it responsibly to delivery workflows.
• Experience turning bespoke delivery work into repeatable, productized offerings.
• Strong focus on delivering real customer outcomes in context.

Responsibilities

• Design, build, and deploy reusable IP for customer deployments and accelerators.
• Prototype proofs-of-concept and production-grade solution accelerators.
• Translate Cornerstone product capabilities into repeatable delivery patterns across industries.
• Establish reference architectures and solution blueprints for complex deployments.
• Convert bespoke delivery work into fixed, repeatable offerings that scale.

Skills

Services/solutions engineering

Hands-on solution design

AI/automation tooling

Productization mindset

Outcome oriented

Communication skills

Problem solving

Travel willingness

Education

Bachelor’s degree in CS/Engineering/IT

Advanced degree a plus

Job description

Cornerstone OnDemand seeks a Principal Solutions Engineer to design and build repeatable AI-enabled delivery IP. You will embed accelerators, playbooks, and templates into Services, Support, and Partner solutions, enabling scalable customer outcomes across regulated industries.

You will translate new Cornerstone capabilities into repeatable deployment patterns, co-create reference architectures, and lead cross-functional collaboration to raise delivery quality and velocity.