C

AI Enablement Engineer

Cube Hub Inc. • United State
Remote
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Build and maintain tools, content, and processes to accelerate AI adoption across the organization. Develop reusable AI skills, agents, and workflows while partnering with AI coaches to scale successful use cases. Requires strong expertise in Python, AI frameworks like LangChain, and RAG implementation.

Key Highlights
Central builder for shared AI enablement capabilities and reusable assets
Collaborates with embedded AI coaches to turn use cases into scalable templates
Focuses on reducing duplication of effort and improving AI tool discoverability
Key Responsibilities
Build and maintain the AI Skills, Agents, and Templates Hub.
Develop reusable AI skills, agents, workflows, and starter templates.
Create onboarding materials, documentation, and best practices.
Manage intake, prioritization, and tracking of AI enablement requests.
Support AI coaches in packaging and scaling successful team solutions.
Measure adoption, maintain asset quality, and coordinate releases.
Technical Skills Required
Python LangChain RAG
Benefits & Perks
Fully Remote
Nice to Have
AWS experience
Big Data technologies (Databricks)
Multi-agent system design and development

Job Description

AI Enablement EngineerLocation

Austin, TX / Chicago, IL / Urbandale, IA / Fully Remote

Position Summary

Support the AI Enablement program by building and maintaining the tools, content, and processes that accelerate AI adoption across the organization. This individual will partner with AI Enablement leads and embedded AI coaches to turn successful use cases into reusable skills, agents, templates, workflows, and knowledge assets that can be shared across teams.

The role aligns with the AI Enablement vision of providing reusable AI capabilities, onboarding resources, and adoption support across departments.

Key Responsibilities

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