Lead the architecture of our AI ecosystem as an AI Technical Lead. Focus on designing scalable RAG systems and evaluating agent orchestration while mentoring developers. In this pivotal position, you will define the end-to-end architecture of RAG pipelines and multi-agent frameworks.

Key responsibilities include creating custom evaluation harnesses, integrating advanced AI methodologies, and ensuring secure deployments. Your mentorship will help developers uphold coding standards and engineering discipline. Key Responsibilities:
Define architecture for RAG pipelines and distributed inference systems
Build evaluation harnesses for AI agents and LLM reasoning
Evaluate with domain-specific scoring and adversarial tests
Continuously integrate cutting-edge AI methodologies
Mentor developers in AI security and engineering practices

Requirements:
Solid foundation in vector math and evaluation science
Expertise in distributed architecture and performance-critical systems
Deep understanding of LLM architectures and transformer mechanics
Knowledge of Google's GECX as a bonus
Familiarity with observability and secure AI practices

Shape the future of AI architecture and mentor a talented development team.

📌 Architectural Ai Technical Lead Role Brampton
🏢 Yochana
📍 Brampton