- AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts.
- Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol).
- Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements.
- Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration.
- Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings.
- Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.
📌 Senior AI Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad
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