Staff Data and AI Engineer - Enterprise
Core
Designing and building the enterprise data warehouse, scalable data integrations, and AI-enabled workflow automations for Riot's Enterprise Technology organization.
Role type
Staff Data and AI Engineer (Enterprise)
Builds
Enterprise data warehouse, scalable data pipelines, AI agentic analytics services, and RAG/orchestration frameworks.
Domain
Enterprise Technology / Data Engineering / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data engineering, data architecture, AI/agentic automation, orchestration platforms, RAG/vector stores, Databricks, dimensional modeling, enterprise platform integrations
Preferred skills
Master data management, Workato agentic workflows, agent development frameworks (LangChain, Pydantic AI), enterprise knowledge search platforms, cloud data services (AWS), dbt, event-driven patterns
Technologies
Databricks, Workato, n8n, Camunda, Google Vertex AI, Anthropic Claude Platform, OpenAI Platform, LangChain, Pydantic AI, LangGraph, CrewAI, Microsoft AutoGen, AWS, dbt
Responsibilities
Partner with stakeholders to translate business requirements into technical designs for process automation and data integrations; Design, build, and maintain data and platform components of the Enterprise AI ecosystem including reference architectures for RAG/agents; Contribute to conceptual and logical data models for enterprise domains; Design, build, and maintain data pipelines, transformations, and warehouse-oriented data products; Support reporting and analytics by shaping reliable data foundations.
Seniority
Staff, hands-on IC with strategic scope
