Manager AI Engineer Agentic Systems

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 guardrails Build RAG pipelines using embeddings, vector stores, chunking, and re-ranking Develop generative and agentic solutions with LLMs and SLMs Create evaluation frameworks, telemetry, and production monitoring Implement MLOps, LLMOps, APIs, CI/CD, and cloud deployments Requirements:

Degree in Computer Science, Data Science, Engineering, or related discipline Five to eight-plus years of AI development experience Two-plus years building production AI/ML or agentic solutions Experience with AI/ML libraries, machine learning, and deep learning Docker, Kubernetes, CI/CD, version control, APIs, and observability experience Apply AI engineering, agent orchestration, retrieval, and governance expertise to deliver reliable enterprise solutions for EY clients.

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