Lead the architectural advancements of Agentic AI as a Principal Engineer. Oversee creative projects in reinforcement learning and multi-agent systems to create scalable solutions.You will act as a vision setter for next-gen AI technologies. The role focuses on crafting high-performance environments for Agentic RL, identifying industry challenges, and fostering academic engagements. Your influence will extend through impactful research and system deployments.Key Responsibilities:Define strategies for deep learning architecturesDevelop agent training substrates for large-scale systemsAddress communication and learning efficiency issuesDrive collaborations across academia and industryImplement evaluation frameworks for large-scale deploymentsRequirements:MS or PhD in a relevant disciplineExpertise in reinforcement learning and optimizationExperience in building distributed ML training systemsStrong coding skills, especially in Python or C++Significant research contributions or patentsAdvance the future of AI by orchestrating the development of robust, distributed systems for next-generation Agentic technologies.#J-18808-Ljbffr

📌 Principal Engineer For Agentic Ai Systems (Markham)
🏢 Huawei Canada
📍 Markham