Senior AI Enablement Engineer (Neuquén)

Santex Ver todas las vacantes

  • Neuquén
  • Permanente
  • Tiempo completo
  • Hace 14 horas
Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.
Job Description
We are seeking an AI Enablement Engineer to design and scale the semantic layer that turns raw restaurant data into a shared language for AI, analytics, and decision‑making across a integral Quick Service Restaurant (QSR) enterprise. This is a foundational role in our AI strategy: the semantic layer you build is what makes natural language analytics, automated reporting, and intelligent AI agents possible at enterprise scale. Your focus is bridging business meaning and data, ensuring that AI systems, analytics platforms, and end users consistently interpret critical metrics like same‑store sales, speed of service, traffic, and labor productivity in a standardized, governed way. When an AI agent or a franchisee asks \"how did my restaurant perform last week,\" the accuracy and trust of that answer starts with your work.
You will define and operationalize a hybrid semantic layer strategy that combines governed, metadata‑driven models with AI‑powered context engineering to enable scalable, accurate, and self‑service insights across restaurants, corporate teams, and franchisees, unlocking the building blocks for conversational analytics and autonomous AI workflows.
Key Responsibilities – Semantic Layer Strategy & ArchitectureDefine and implement an enterprise semantic layer that standardizes metric definitio

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