Staff Data and AI Engineer - Enterprise Information Technology Riot Operations & Support Los An[...]
Riot Games
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Benefits offered by this job
Job summary
Riot Games in Los Angeles is seeking a Staff Data and AI Engineer to drive enterprise data warehouse design and scalable data integrations across platforms like OneStream, Oracle, Workday, and Databricks. You’ll develop AI-enabled workflows and automation, partnering with enterprise leaders to translate requirements into secure, high-value solutions.
The role emphasizes hands-on data engineering with a platform mindset, delivering robust pipelines and warehousing models, and collaborating with
Qualifications
- Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent).
- 8+ years of experience in enterprise applications, data engineering, or platform engineering with scalable solutions.
- Experience delivering AI or agentic automation at scale.
- Strong knowledge of orchestration platforms and AI platforms in enterprise contexts.
- Hands-on experience with data pipelines, APIs, middleware, and data platforms.
- Databricks experience for developing and operationalizing data workflows.
Responsibilities
- Collaborate with Finance, HR, Legal, IT, and Operations to translate requirements into technical designs with a focus on automation and data integrations.
- Design and maintain Riot’s Enterprise AI data ecosystem, including reference architectures for RAG/agents and orchestration.
- Develop conceptual/logical data models and connect them to business capabilities and apps.
- Build data pipelines, transformations, and warehouse-oriented data products across platforms.
- Support reporting and analytics by shaping reliable data foundations and patterns.
Skills
Education
Tools
Job description
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services.
The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
- Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems.
- Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks.
- Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications.
- Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems.
- Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns.
- 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.
At Riot Games, weput players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the SanFrancisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
- (Los Angeles Only) Base salary range between $161,500.00 - $227,000.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services.
The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
- Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems.
- Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks.
- Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications.
- Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems.
- Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns.
- 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
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