AI Enablement Engineer

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

• 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.

Working Model

• Act as the central builder and operator for shared AI enablement capabilities.
• Partner with AI coaches who identify use cases, provide domain expertise, validate solutions, and drive adoption within their teams.
• Collaborate with AI Enablement leadership, which sets priorities and strategic direction.
• Support and complement the embedded AI coach model across the organization.

Success Measures

• Increased adoption of AI tools and resources.
• Growth of reusable skills, agents, and templates.
• Faster onboarding and knowledge sharing.
• Reduced duplication of effort across teams.
• Improved discoverability and reuse of AI solutions.

Required Skills

• Strong Python expertise.
• GitHub experience.
• AI frameworks such as LangChain.
• MCPs (Model Context Protocol).
• RAG (Retrieval-Augmented Generation).
• Vector databases.
• Harness Engineering.
• Experience building reusable AI tools, workflows, agents, or automation solutions.

Preferred Skills

• AWS experience.
• Big Data technologies, including Databricks.
• Multi-agent system design and development.

Additional Information

• A Glider assessment is being developed and will be required before candidate submission.