Staff Application Engineer - Enterprise Data & AI (Intelligence Platform)
Core
Design and operate production data pipelines and build AI-enabled agents/retrieval applications on a governed data platform for enterprise analytics and automation.
Role type
Staff Data and AI Engineer (Enterprise Platform)
Builds
Production data pipelines, semantic models, and AI agents grounded in enterprise data
Domain
Enterprise Data & AI / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Data engineering, Python, Databricks (Unity Catalog, Medallion Architecture), Mosaic AI, Model serving, API integration, Data quality, CI/CD, LLM platforms, Automation platforms
Preferred skills
Mosaic AI Agent Framework, Vector databases, Agent frameworks (LangGraph, LangChain), LLM evaluation, Dimensional modeling, Enterprise ERP integration, GCP/AWS data services
Technologies
Databricks, Unity Catalog, Mosaic AI, Python, Vertex AI, Anthropic, OpenAI, Workato, n8n, Camunda, MLflow, LangGraph, Pydantic AI, LangChain, CrewAI, dbt
Responsibilities
Build and operate medallion architecture pipelines with lineage and access controls; Define semantic models in Unity Catalog with SMEs; Build production agents and RAG applications; Implement data quality tests and monitoring; Integrate enterprise systems via APIs/middleware; Create evaluation sets and observability for AI agents.
Seniority
Staff, hands-on IC with architecture ownership