Build production-grade agentic AI systems at EY in Toronto, using LangGraph, CrewAI, AI/ML pipelines, and enterprise retrieval technologies. Work across complex client engagements.
As an AI Engineer, you will design and implement end-to-end AI/ML and agentic AI solutions for EY clients. You will collaborate with business stakeholders, AI Architects, AI Platform Engineers, and Data Scientists. Your work will translate business challenges into practical, scalable, and responsible solutions.

Key Responsibilities

Design agentic workflows with orchestration, gateways, observability, controls, and guardrailsBuild RAG pipelines using embeddings, vector stores, chunking, and re-rankingDevelop generative and agentic solutions with LLMs and SLMsCreate evaluation frameworks, telemetry,



and production monitoringImplement MLOps, LLMOps, APIs, CI/CD, and cloud deploymentsRequirements:
Degree in Computer Science, Data Science, Engineering, or related disciplineFive to eight-plus years of AI development experienceTwo-plus years building production AI/ML or agentic solutionsExperience with AI/ML libraries, machine learning, and deep learningDocker, Kubernetes, CI/CD, version control, APIs, and observability experienceApply AI engineering, agent orchestration, retrieval, and governance expertise to deliver reliable enterprise solutions for EY clients.

📌 Manager Ai Engineer Agentic Systems (Canada)
🏢 EY
📍 Canada