Staff Data and AI Engineer - Enterprise at Riotgames · LumiJobs

Qualification

Experience supporting master dataStrong hands-on experience with WorkatoFor this roleRiot focuses on work/life balance

Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions).
8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale.
Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale.
Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts.
Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms.
Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions.
Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns.
Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options.

Experience supporting master data, reporting, analytics, or business intelligence use cases.
Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations.
Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar).
Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases.
Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns.
Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices.
For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

Staff Data and AI Engineer - Enterprise