AI Engineer

viva; Austin (TX); On-site; USD 83,000 - 90,000; Full time

Job summary

viva is seeking an onsite Austin-based AI Enablement Engineer to build and maintain the AI Skills, Agents, and Templates Hub, and develop reusable AI skills, workflows, and starter templates. You will create onboarding materials and best practices to ensure consistent adoption across teams.

You will own intake, prioritization, and tracking of enablement requests, support AI coaches by packaging solutions into shared assets, and measure adoption while maintaining asset quality and coordinating

Qualifications

• Python expertise.
• GitHub experience.
• AWS is a plus.
• Experience with AI frameworks (example: Langchain).
• Working knowledge of MCPs.
• Experience with RAG and vector databases.
• Harness Engineering.

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 for consistent adoption.
• Own the intake, prioritization, and tracking of AI enablement requests.
• Support AI coaches by packaging and scaling successful team solutions into shared assets.
• Measure adoption, maintain asset quality, and coordinate releases.

Skills

Python

GitHub

AWS

Langchain

MCPs

RAG

Vector Database

Harness Engineering

Tools

GitHub

AWS

Langchain

Databricks

MCPs

RAG

Vector Database

Harness Engineering

Job description

Build shared AI enablement capabilities that help teams adopt AI faster through reusable skills, agents, templates, and documented workflows.

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 for consistent adoption.
• Own the intake, prioritization, and tracking of AI enablement requests.
• Support AI coaches by packaging and scaling successful team solutions into shared assets.
• Measure adoption, maintain asset quality, and coordinate releases.

Requirements

• Python expertise.
• GitHub.
• AWS is a plus.
• Experience with AI frameworks (example: Langchain).
• Working knowledge of MCPs.
• Experience with RAG and vector databases.
• Harness Engineering.

Technologies

• Python
• GitHub
• AWS
• Langchain
• MCPs
• RAG
• Vector Database
• Harness Engineering
• Databricks

Working Model

• Act as the central builder and operator for shared AI enablement capabilities.
• AI coaches identify use cases, provide domain expertise, validate solutions, and drive adoption within their teams.
• AI Enablement leadership sets priorities and strategic direction, complementing the embedded coach model announced across DSG.

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.

Nice to Have

• Big Data (Databricks).
• Multi agent system design and development.

Location: Austin, TX (onsite)

Compensation: USD 60 - 65 per hourly