Staff AI & Data Engineer (HR Systems)

Join Riot Games as a Staff AI & Data Engineer, where you will leverage your expertise in AI and data engineering to enhance HR systems. You will design and deliver AI agents, intelligent automations, and data products, while mentoring the existing team. This role requires strong knowledge of HR technology and data engineering, as well as hands-on experience with Databricks and Workday.

- Concevoir et livrer des agents d'IA, des automatisations intelligentes, des produits de données et des capacités d'ingénierie réutilisables dans l'écosystème technologique des RH de Riot. - Travailler en collaboration avec les équipes techniques et les parties prenantes des RH pour identifier les opportunités à forte valeur ajoutée et déterminer les solutions appropriées. - Mentorer et accompagner les ingénieurs en technologie des RH pour développer des capacités durables en matière d'IA et d'ingénierie des données au sein de l'équipe.

- Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data - Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI - Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow - 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 - Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience - 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 - Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures - Deep hands-on experience with Workday, including integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture - Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability - Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms - Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models