AI and Data - Manager - AI Platform Engineer

AI and Data - Manager - AI Platform Engineer

Location: Toronto

Other locations: Primary Location Only

Salary: Competitive

Date: Aug 5, 2026

Job description

Requisition ID: 1733271

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

As an AI Platform Engineer, you will design, build, and operate the foundational infrastructure layer that powers EYs 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.

The opportunity

You will work across complex client engagements building and operationalising AI platform infrastructure that underpins enterprise agentic AI solutions. Partnering with AI Architects and AI Engineers, you will own the MLOps and LLMOps discipline, from CI/CD pipelines and model registries to telemetry, evaluation guardrails, and responsible AI controls.

This job posting relates to an existing vacancy within our organization.

Your key 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

Skills and attributes for success

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.

To qualify for the role, you must have

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