Staff AI & Data Engineer, HR Systems
Los Angeles · 7+ years experience · Posted Oct 5, 2026
At a glance
- Experience
- 7+ years experience
- Location
- Los Angeles
About the role
- Riot Games is seeking a Staff AI & Data Engineer, HR Systems to bring deep AI and modern data engineering expertise to HR Systems.
- The role involves designing and delivering AI agents, intelligent automations, data products, and reusable engineering capabilities across the HR Technology ecosystem.
- The engineer will work across Workday, Databricks, and Riot's broader enterprise technology ecosystem to turn trusted HR data and complex HR processes into secure, scalable solutions.
Responsibilities
- Apply deep HR technology knowledge to discover opportunities and develop solutions across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics.
- Leverage Riot's evolving AI and automation ecosystem, including tools such as Workato, Windsurf, Devin, and TrueFoundry, to accelerate development and delivery.
- Evaluate opportunities within HR Technology’s workflow and portfolio of applications, including SaaS and custom systems, to establish best practices and introduce new AI-enhanced capabilities.
- Translate complex HR processes, policies, and operational needs into scalable technical solutions that improve Rioter experiences and business outcomes.
- Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, and APIs to make business-context-aware decisions and take actions within defined guardrails.
- Leverage Databricks AI capabilities—including Unity Catalog, model serving, and vector search—and select appropriate models, prompting, retrieval, and orchestration patterns based on business needs, performance, scalability, and cost.
- Design secure and responsible AI solutions with appropriate identity-aware access, human oversight, transparency, auditability, and controls for sensitive HR data and workflows.
- Design scalable HR data pipelines, products, and domain models on Databricks using medallion architecture and Unity Catalog to provide governed, secure access to trusted HR data.
- Mentor and pair with HR Tech engineers to build AI agents, Databricks solutions, data products, and automations, growing sustainable AI and data engineering capability across the team.
- Establish reusable architectures, development patterns, documentation, and engineering standards that enable the team to independently build and scale solutions.
Requirements
- 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience, with demonstrated experience designing and delivering production solutions in enterprise environments.
- Demonstrated hands-on experience building and deploying generative AI and/or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures.
- Demonstrated experience designing and delivering secure, resilient enterprise integrations within event-driven architectures using MCPs, APIs, webhooks, orchestration platforms, AWS lambda and relevant SaaS capabilities, with robust authentication, authorization, idempotency, retry, and error-handling patterns.
- Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI.
- Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data.
- Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow.
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience.
Benefits
- Open paid time off policy
- Flexible work schedules
- Medical insurance
- Dental insurance
- Life insurance
- Parental leave for employee, spouse/domestic partner, and children
- 401k with company match
Skills
- Workday
- Databricks
- Workato
- Windsurf
- Devin
- TrueFoundry
- AWS
- GCP
- LLMs
- RAG
- Unity Catalog
- ServiceNow
Show all 14 skills
- Greenhouse
- VNDLY
