monsterenergy · USA - Corona, CA
Skills: Python, SQL
About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: In the position of AI Data Engineer, you will engineer the data that Monster's artificial intelligence (AI) agents and copilots depend on, owning AI data readiness from source to answer. Assess and remediate data for specific AI use cases; build the retrieval pipelines, embeddings, and search indexes that ground Microsoft Copilot, Copilot Studio, Agentforce, and custom OpenAI and Claude-based agents; and maintain the semantic layer that links related records across systems (for example, a Salesforce account to its SAP financials and Power BI reporting). Working in Microsoft Fabric, Azure, and Databricks with the AI Architect, Sr. AI Solution Engineer, and AI Engineer, make enterprise data AI-ready, measurable, and trustworthy, so every AI answer can be traced to its source. The Impact You'll Make: Retrieval (RAG) Data Pipelines — Build and operate ingestion, parsing, chunking, enrichment, embedding, and vector / hybrid indexing pipelines (e.g., Azure AI Search, Databricks Vector Search) that ground Copilot, Copilot Studio, Agentforce, and custom agents; enforce permission-aware retrieval that respects source-system security. Semantic Layer & Grounding Context — Design and maintain Power BI / Fabric semantic models, business glossary, and entity relationships (e.g., customer, product, and distributor across Salesforce, SAP, and BI) that give AI agents and Fabric data agents a shared, accurate understanding of the business. AI Data Readi…
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