Lead Data & AI Engineer - Semantic Intelligence
Core
Build trusted data and semantic foundations to turn enterprise AI into scalable business capability, owning delivery from raw data to AI-enabled decisions.
Role type
Lead Data & AI Engineer (Semantic Intelligence)
Builds
Production-ready Agentic AI, LLM, RAG, tool/API orchestration patterns, and analytical/AI-enabled applications.
Domain
Enterprise Data Engineering, AI Engineering, Semantic Modeling
Deliverable
production ML models
Required skills
Agentic AI, LLMs, RAG, tool/API orchestration, Snowflake, Microsoft Fabric, SQL, Python, dimensional modeling, semantic modeling, Power BI, DAX, feature engineering, statistical reasoning, CI/CD, data quality, observability
Preferred skills
dbt, Apache Airflow, knowledge graphs, model evaluation, responsible AI practices, machine-learning experimentation, data contracts
Technologies
Snowflake, Microsoft Fabric, Rayfin, Power BI, DAX, SQL, Python, dbt, Apache Airflow, Git/GitHub
Responsibilities
Build AI-ready data foundations and agentic solutions; build production-ready Agentic AI, LLM, RAG, and tool/API orchestration patterns; build analytical and AI-enabled applications; build robust ELT/ETL pipelines; implement bronze, silver, and gold medallion layers; deliver reusable data products; design dimensional models; build and optimize semantic models; explore data and apply segmentation, forecasting, classification, or anomaly detection; lead end-to-end technical delivery and mentor engineers.
Seniority
Senior, hands-on IC with mentoring responsibilities
