Shape the future of AI with your design expertise in multi-agent architectures and robust experience in Python. This role focuses on creative solutions with Vertex AI and LLM frameworks.In your role as a Multi-Agent AI Architect, you will lead the development of intricate AI systems. Your extensive experience with LangChain, Semantic Kernel, and related frameworks will be integral. Additionally, you will design RAG pipelines and evaluate LLM performance while ensuring secure outputs and governance.Key Responsibilities:
Lead architecture design for multi-agent AI systems
Implement secure coding in RAG pipeline development
Create agent memory using vector databases
Oversee evaluation frameworks for AI accuracy
Design governance for model versioning and explainabilityRequirements:
Solid experience with GCP AI services like Vertex AI
Proficient in Python and ML pipeline creation
Expertise in vector databases including Pinecone
Knowledge of prompt engineering in LLMs
Familiarity with AI evaluation metrics and frameworksBring your architectural vision and technical prowess to transform AI landscapes.#J-18808-Ljbffr

📌 Multi Agent Ai Architect With Python Proficiency Toronto
🏢 PeoplePilot
📍 Toronto