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About the Role

As an AI Engineer at EY, you will design and build production-grade AI and agentic AI solutions to address real business challenges for EY's clients. You will be a core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability, and governance to ensure AI solutions function effectively in production.

Responsibilities

• Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, and proprietary cloud-based agentic platforms, including agent orchestration, AI gateways, observability, controls, and guardrails.
• Build and optimize retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking.
• Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
• Build evaluation frameworks to measure AI solution quality and consistency, and implement telemetry and monitoring for model drift, latency, output quality, and cost metrics.
• Leverage machine learning/deep learning algorithms and foundational statistical concepts to solve real-world AI/ML problems at scale.
• Implement MLOps and LLMOps best practices across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, and CI/CD.
• Build AI governance and responsible AI controls for AI systems.
• Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings.

Requirements

• Deep experience designing and building agentic AI systems in enterprise environments.
• Analytical mindset to troubleshoot AI-specific failure modes, model hallucinations, retrieval gaps, context overflow, agent looping, and system latency, and engineer reliable solutions.
• Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
• Ability to adapt quickly to fast-moving environments with frequent updates in AI frameworks, agentic tool patterns, LLM capabilities, and cloud platform services.
• A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
• 5-8+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
• Hands-on experience in developing machine learning and deep learning algorithms at scale.
• Deep experience working with AI/ML libraries and frameworks.
• Understanding of foundational statistics and mathematical modeling.
• Advanced object-oriented coding skills in Python for production-level codebases.
• Familiarity with Java, TypeScript/JavaScript is a plus.
• Hands-on experience building and deploying AI agents and AI/ML solutions.
• Hands-on experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and version control for AI systems.
• Working knowledge of LLM observability and monitoring tools.
• Experience in API integration and development.
• Consulting or professional services experience is strongly preferred.

Skills

• AI/ML pipelines
• Agentic workflows
• Multi-agent coordination
• Evaluation frameworks
• Observability
• Governance
• LangGraph
• CrewAI
• Retrieval Augmented Generation (RAG)
• Chunking strategies
• Embedding models
• Vector store integration
• Re-ranking
• Large Language Models (LLMs)
• Small Language Models (SLMs)
• Machine learning
• Deep learning
• MLOps
• LLMOps
• Cloud environments
• APIs
• CI/CD
• Responsible AI
• Python
• Java
• TypeScript
• JavaScript
• Docker
• Kubernetes
• API integration

Location

• Toronto

Work Type

• Full-time

Experience Level

• 5-8+ years of AI development experience
• At least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions

Education Level

• Degree in Computer Science, Data Science, Engineering or related technical discipline
• MSc/PhD is an advantage

Salary/Compensations

• $110,000 to $160,000

Benefits

• Competitive compensation package
• Medical and dental coverage
• Pension and 401(k) plans
• 15 days of vacation plus ten observed holidays and three paid personal days
• Programs and benefits designed to support physical, financial and social well-being
• Opportunity to manage a portfolio of talent
• Collaborative environment
• Excellent training and development prospects
• Excellent team of senior colleagues

About the Company

• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
• At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience.
• We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with the highest ethical principles and regulatory requirements.

Equal Opportunity

• Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging.
• We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation.
• Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us.
• Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.
• Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity