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About the Role

As an AI Platform Engineer, you will design, build, and operate the foundational infrastructure layer that powers EY's AI, GenAI and Agentic AI solutions in production. You will own the platform that AI Engineers build on, including AI gateways, agent deployment pipelines, and the observability stack that keeps AI solutions performant, secure, and cost-efficient at enterprise scale. Beyond platform operations, you bring hands-on capability to build and deploy AI agents.

Responsibilities

Design and manage enterprise AI platform infrastructure, including multi-agent systems, orchestration frameworks, AI Gateways, telemetry, monitoring, guardrail, and agent runtime environments.
Deploy and operationalise Generative/Agentic AI solutions behind scalable, high-availability architecture, including platform-level support for agentic protocols (e.g. MCP server operations, A2A, LLM proxies), enabling AI Engineers to develop and deploy agent-based solutions.
Build and deploy AI agents and agentic workflows using AI agent frameworks.
Implement CI/CD automation, reusable IaC to standardize deployment, best practices for MLOps and LLMOps across experimental and production environments.
Build AI governance, risk management, and responsible AI controls for autonomous and semi-autonomous systems.
Contribute to EY thought leadership, assets, and go-to-market offerings in agentic and generative AI.
Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings in AI/ML, agentic and generative AI.

Requirements

Deep experience designing and deploying AI and agentic systems in enterprise environments across major cloud platforms, with practical ability to build AI agents and agentic workflows alongside AI Engineers.
Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
Adapts 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, Engineering, or a related field.
5-8+ years of hands-on background in infrastructure, platform engineering, or DevOps, with direct experience supporting AI workloads in production.
Proficiency in Python and Infrastructure-as-Code tools such as Terraform, with deep experience in containerisation and orchestration platforms (Docker, Kubernetes).
Working knowledge of major cloud AI ecosystems and open-source platforms
Working knowledge of agentic AI monitoring and observability suite
Hands-on experience building and deploying AI agents using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms.
Deep experience in API integration and development.
Consulting or professional services experience is strongly preferred.

Skills

Python
Terraform
Docker
Kubernetes
LangGraph
CrewAI

Location

Toronto

Work Type

Full-time

Experience Level

5-8+ years

Education Level

Degree in Computer Science, Engineering, or a related field

Salary/Compensations

$110,000 to $160,000

Benefits

Medical and dental coverage
Pension and 401(k) plans
15 days of vacation
Ten observed holidays
Three paid personal days
Programs and benefits designed to support physical, financial and social well-being
Opportunity to manage a portfolio of talent within a designated service line
Collaborative environment
Excellent training and development prospects
On-the-job training

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.

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.
At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our 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.