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Added 2 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
…embedding controls in operational and DevOps (CI/CD) practices with a focus on…
Added 2 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as…
Added 2 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Familiarity with Makefiles, scripting languages like perl, python, ruby etc.
Added 2 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
Added 1 month ago
Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
We have a lot to teach you about security, auth, developer products and many other things. And we also want to learn from you. Join us to have fun learning and collaborating with a great…
Added 2 months ago
S
Staff Engineer, Computer Vision
Stryker
Burnaby, BC
- $105,300 to $140,450 CAD / year
- Full-time
Experience with Python and/or C++, with CUDA as a plus.
Added 2 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
Posséder une expérience en développement logiciel backend ou orienté objet, de préférence avec Java ou un langage similaire (Kotlin, C#, Python ou Go).
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 4 months ago
FI
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
- Full-time
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate…
Added 3 months ago
EG
Business Analyst
Emterra Group
Surrey, BC
- Full-time
…organics, and waste that keep our communities clean and safe. With customer service and safety as our focus, we are looking for an energetic and driven employee to support our growing…
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
Establish platform engineering standards across SDKs, templates, CI/CD, testing, infrastructure-as-code, and developer workflows
Added 3 months ago
O
Lead Python Developer
OpenText
Richmond Hill, ON
- Full-time
Software Architecture & Python: Expert-level developer with a strong focus on clean architecture, design patterns, and rigorous testing (unit, integration, etc.). Proficient with Python’s…
Added 2 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Python required. Familiarity with TypeScript and/or Java.
Added 2 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience delivering digital services in agile, product-oriented environments and familiarity with languages such as Python, Java, .NET, or Node.js.
Added 3 months ago
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 USD / year
- Full-time
- Remote
…schedule, document, and manage clinical services at scale. With over 4,500 pharmacies using our software, we’ve facilitated more than 25 million patient services, transforming pharmacies…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 2 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
…business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive…
Added 1 month ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Strong programming skills in Python and hands-on experience with PyTorch.
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more scripting language (e.g., Python, KornShell)
Added 1 month ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
Added 1 month ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
At EY, we’re all in to shape your future with confidence.
Added 3 months ago
L
Frontend/UI Developer
Larus
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…

AI and Data - Manager - AI Engineer

Toronto, ON, M5H 0B3, Canada

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Applications open in a new tab.

Job details

Experience: 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.
Posting language: English
Posted: Sep 2, 2026

Original 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 AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability and governance that ensure AI solutions work in production.

The opportunity

You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business challenges into practical, scalable, and responsible AI solutions through maintainable architectural. You will have the opportunity to influence executive stakeholders and help clients responsibly adopt agentic AI to drive measurable business outcomes.

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

Your key responsibilities

Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms, including agent orchestration, AI gateways (i.e. MCP, A2A), observability, controls and guardrails.
Build and optimise retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking to ground agent outputs in accurate, current enterprise data.
Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
Build evaluation frameworks to measure AI solution quality, consistency, and implement telemetry and monitoring to track model drift, latency, output quality, and cost metrics in production.
Leverage machine learning/deep learning algorithms and foundational statistical concepts to solve real-world AI/ML problems at scale
Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD, ensuring high availability and low latency.
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 in AI/ML, agentic and generative AI

Skills and attributes for success

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 around them.
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, 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.

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

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

- 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 | Building a better working world

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.

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More about this job

Responsibilities

Design and implement production-grade agentic AI workflows and AI/ML pipelines to solve complex business problems. Collaborate with stakeholders to build scalable, responsible AI solutions while mentoring junior team members.

Requirements

Requires a degree in a technical discipline and 5-8+ years of AI development experience with a focus on production-grade solutions. Proficiency in Python, machine learning algorithms, and cloud-based AI frameworks is essential.

Skills

Agentic AI
Python
Machine Learning
Deep Learning
LLMOps
MLOps
RAG
LangGraph
CrewAI
Cloud computing
Docker
Kubernetes
CI/CD
API development
Data science
AI governance

Benefits

Medical coverage
Dental coverage
Pension plan
401(k) plan
Paid vacation
Paid personal days

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Agentic AI
Generative AI
LLM
SLM
RAG
LangGraph
CrewAI
Python
MLOps
LLMOps
Docker
Kubernetes
CI/CD
API
Data Science
Machine Learning
Deep Learning
AI Governance
Cloud Platform
Vector Store
Embedding Models
Telemetry
Monitoring
Consulting
Enterprise AI
Model Risk Management
Statistical Modeling
Object-oriented Programming
Microservices

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