AI Architect

Responsibilities: Architect end-to-end AI solutions: Design and implement AI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first. Lead data, knowledge, and RAG architectures: Define and implement data lakes, vector stores, knowledge bases, and knowledge graphs to power intelligent assistants and solutions. Productionize and integrate AI systems: Own the path from prototype to productionintegrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. Embed guardrails, safety, and governance: Implement guardrails, policies, ...