Staff AI & Data Engineer, HR Systems
Riot Games4 hours ago
Responsibilities
- Identify and deliver AI, automation, data product, integration, and platform opportunities across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics.
- Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, APIs, and Databricks AI capabilities.
- Establish evaluation, testing, observability, security, identity-aware access, human oversight, auditability, and governance practices for AI solutions handling sensitive HR data.
- Design scalable HR data pipelines, products, domain models, semantic models, metadata, data contracts, and governed access using Databricks and Unity Catalog.
- Integrate Workday, Databricks, enterprise applications, and AI services through MCPs, APIs, events, webhooks, pipelines, and orchestration patterns.
- Drive solutions from discovery and prototyping through implementation, adoption, measurement, and continuous improvement.
- Mentor and pair with HR Tech engineers while establishing reusable architectures, documentation, development patterns, engineering standards, reliability practices, and cost-optimized solutions.
- Partner with HR Tech, Enterprise Data & AI, Enterprise Software Engineering, Security, HR COEs, product owners, and technical leaders across the organization.
Requirements
- 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience delivering production enterprise solutions.
- Hands-on experience building and deploying generative AI or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures.
- Experience designing secure, resilient enterprise integrations using event-driven architectures, MCPs, APIs, webhooks, orchestration platforms, AWS Lambda, SaaS capabilities, and robust authentication, authorization, idempotency, retry, and error-handling patterns.
- Hands-on Databricks experience, 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 from structured and unstructured enterprise data.
- Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including 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.
- Deep Workday experience with integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture is preferred.
- Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures is preferred.
- Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms is preferred.
- Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability, is preferred.
- Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models is preferred.
Benefits
- Open paid time off policy and flexible work schedules.
- Medical, dental, and life insurance.
- Parental leave for the employee, spouse/domestic partner, and children.
- 401(k) with company match.
Tech Stack
Categories
AI ApplicationsData Engineering
About Riot Games
Riot Games develops and publishes online multiplayer games for PC and mobile, including League of Legends, Valorant, Teamfight Tactics, Legends of Runeterra, and Wild Rift. The company operates free-to-play titles monetized via in-game purchases and runs global esports leagues and events around its franchises. Founded in 2006 and headquartered in Los Angeles, Riot is a subsidiary of Tencent with offices worldwide.