Staff AI Data Engineer
Core
Architect and deliver end-to-end scalable, secure, and production-grade data and AI/GenAI solutions, including petabyte-scale lakehouses, streaming/batch ingestion, and LLM-powered agents.
Role type
Staff AI Data Engineer
Builds
End-to-end data platforms (lakehouse/cloud warehouse), AI/GenAI solutions (RAG, agents, vector search), and MLOps/LLMOps foundations.
Domain
Semiconductor industry, Intelligent Edge, Data Engineering, Applied AI/GenAI
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems design, Data modeling, Python, SQL, Apache Spark, Cloud platforms (AWS/Azure), DataOps, MLOps/LLMOps, LLM orchestration, Vector search
Preferred skills
Semiconductor manufacturing data experience, Data mesh architecture, AI workload governance, Cloud certifications
Technologies
Databricks, Snowflake, Kafka, dbt, Airflow/Dagster, MLflow, Power BI, Tableau, Docker, Git
Responsibilities
Architect end-to-end data and AI solutions from ingestion to serving; Design and build modern data platforms with medallion architectures; Implement and deploy AI/GenAI solutions including RAG and agentic workflows; Build AI-assisted engineering and DataOps automation; Stand up MLOps/LLMOps foundations; Lead large-scale data efforts and mentor engineers; Partner with infrastructure teams to connect resilient data feeds.
Seniority
Staff, strategic leadership with hands-on IC delivery
