About

• Work closely with internal teams to define and drive the technical landscape of the AI integrations in our tools, pipelines, and game products. Build out production support for deploying AI models and infrastructure for multipe tools at scale Keep up to date on latest advancements in AWS, MLOps, AI infrastructure to build using the latest technologies Design and build deployment strategies for agentic AI and RL based tools 5+ years in DevOps/MLOps or related work for building, deploying, and supporting live tools and processes. Proficiency with AWS, CDK, serverless containers, networking, and identity solutions Experience designing flexible, scale-able production services for consumer and developer use Experience with multiple live production services and live production service deployments Experience in Python and/or Typescript Experience with Sagemaker, MLFlow, vector databases, Bedrock, DeepEval or related MLOps services. Game ecosystem deployments for builds, online servers, and automated game testing Experience deploying and supporting tools for web sites/web APIs.