Jobs in Canada

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Added 3 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
This is a great opportunity to gain front-line software development experience in a stimulating, creative, and highly collaborative environment. You will work with a team of experienced…
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
Added 3 months ago
S&
Technical Project Manager (AI Product)
Saatchi & Saatchi Canada
Canada
- Full-time
Location & Eligibility: Candidates must be based in Can
Added 3 months ago
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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 3 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
…accelerate Blackpoint Cyber's ML/AI capability. As a Senior Software Engineer on this team, you'll own back-end systems and data/ML pipelines end-to-end, work cross-functionally across…
Added 3 months ago
M
Senior Data Specialist
McKesson
Mississauga, ON
- Full-time
Flex & Connect model requiring 2 days per week in office
Added 3 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience in software development, engineering, or architecture, including as a Digital, Solution, or Enterprise Architect, with a focus on digital transformation and AI integration.
Added 3 months ago
1
Senior Workplace Technology Engineer – Toronto
1Password
Toronto, ON
- Full-time
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security.…
Added 4 months ago
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 CAD / year
- Full-time
- Remote
…clinical services at scale. With over 4,500 pharmacies using our software, we’ve facilitated more than 25 million patient services, transforming pharmacies into community health hubs across…
Added 2 months ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an es
Added 3 months ago
GD
System Integration, Verification & Validation
General Dynamics Missions System International
Cole Harbour, NS · Ottawa, Ontario
- $75,000 to $105,000 CAD / year
- Full-time
…for defense applications across air and naval platforms. Our software solutions support mission-critical functions, including data management, acoustic and sonar processing, and simulation…
Added 4 months ago
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Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
…responsible architectural patterns and best practices for agentic AI development, balancing innovation with risk and ethical…
Added 4 months ago
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
…San Jose. We specialize in leading-edge electronic product development, with hardware, embedded software, FPGA/ASIC, and signal integrity teams working together to design and deliver…
Added 4 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
…San Jose. We specialize in leading-edge electronic product development, with hardware, embedded software, FPGA/ASIC, and signal integrity teams working together to design and deliver…
Added 3 months ago
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AI Solutions Engineer
Thales
Ottawa, ON
- Full-time
Demonstrated experience in the field of Firepower, ISR, C4ISR, or Modelling and Simulation software development.
Added 4 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Develop strong collaborative relationships with key partners in data engineering, software development, research, modeling and marketing teams
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
To qualify for the role, you must have
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
To qualify for the role you must have
Added 4 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…
Added 4 months ago
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Data Scientist
Larus
Ottawa, Ontario
- Full-time
Advocate high-quality and best practices in software design and development;
Added 4 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
Location: Hybrid 2 days per week onsite on one of our following sites:
Added 4 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
Ensure continuous high-quality input for ML model development
Added 2 months ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
…computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a…
Added 4 months ago
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Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
…companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing…

AI and Data - Manager - AI Engineer

Toronto, ON, M5H 0B3, Canada

Apply on careers.ey.com About employer

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.

Apply on careers.ey.com About employer

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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Work requirements

Jobs in Canada