AI and Data - Manager - AI Platform Engineer

EY; Toronto; On-site; CAD 110,000 - 160,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and retirement plans

Vacation and holidays

Paid personal days

Job summary

EY is seeking an AI Platform Engineer to design, build, and operate the foundational AI infrastructure powering EY’s AI and agentic AI solutions in production. You’ll own the platform used by AI Engineers, including AI gateways, deployment pipelines, and observability stacks to ensure security, performance, and cost efficiency at enterprise scale.

You will work across client engagements to operationalise AI platform infra, partnering with AI Architects and AI Engineers to own MLOps and LLMOps,

Qualifications

• 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
• 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.

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, 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 standardise deployment, best practices for MLOps and LLMOps across environments.
• Build AI governance, risk management, and responsible AI controls for 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

Python

IaC (Terraform)

Docker

Kubernetes

CI/CD

MLOps

LLMOps

API development

AI governance

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Docker

Kubernetes

LangGraph

CrewAI

Job description

At EY, you’ll 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 we’re 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 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.

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.

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 standardise 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
• 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.

What We Look For

We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

What We Offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well‑being. Plus, we offer:

• The opportunity to manage a portfolio of talent within a designated service line
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects, both through established programs and on‑the‑job training
• An excellent team of senior colleagues, dedicated to managing and varying your workload.

• Toronto : $110,000 to $160,000

Inclusiveness at EY

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

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. 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.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.