Staff Engineer - AI Data Engineering
Core
Define enterprise AI data engineering strategy and lead development of scalable data platforms for AI/ML, GenAI, LLMs, and analytics.
Role type
Staff Engineer - AI Data Engineering
Builds
Scalable data platforms, ingestion/transformation frameworks, RAG capabilities, and data pipelines for LLM evaluation and AI agents.
Domain
Enterprise AI, GenAI, LLMs, Data Engineering
Deliverable
production ML models
Required skills
Enterprise-scale data engineering, Cloud-native data platforms, Distributed data processing, AI/ML workload support, Python, SQL, PySpark, Data governance, CI/CD, DevOps/DataOps
Preferred skills
GenAI and LLM solutions, RAG architectures, Vector databases, Embedding pipelines, Semantic and hybrid search, Knowledge graphs, AI agents, Feature stores, MLOps, LLMOps, Model evaluation datasets, Unstructured-document processing, Responsible AI, AI governance
Technologies
Python, SQL, PySpark, Microsoft Azure, Databricks
Responsibilities
Define enterprise AI data engineering strategy and architecture, Lead development of scalable data platforms for AI/ML and GenAI, Build ingestion and processing frameworks for databases and events, Design RAG and semantic retrieval capabilities, Create data pipelines for LLM evaluation and AI agents, Lead and mentor senior data and AI engineers, Conduct architecture reviews and partner with compliance and governance teams
Seniority
Staff, hands-on IC with leadership