Jobs in Canada

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Added 3 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Onboard and mentor new and junior team members
Added 3 months ago
A
Senior Software Engineer
Acceldata
Kitchener, ON
- $100,000 to $140,000 CAD / year
- Full-time
Mentor and guide junior software engineers, fostering a culture of continuous learning and growth.
Added 2 months ago
E
Staff Software Engineer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Lead the Architecture design and development of complex , scalable and resilient full-stack applications , with a primary focus on Java , Spring Boot, and modern front-end frameworks.
Added 2 months ago
PF
Senior Test Automation Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
Design, develop, and maintain scalable automation frameworks using Java, Python, and Playwright.
Added 3 months ago
B
Développeur.euse Java / Java Developer
Bounteous
Montreal, QC
- Full-time
Temps plein / Mode hybride - 3 jours au bureau · Full Time / Hybrid - 3 days in office
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 2 months ago
C
Senior Java Developer – Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior Java Engineer to join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern…
Added 2 months ago
Senior Core Java Engineer
Capgemini
Montreal, QC
We are seeking a Senior Core Java Engineer to design, develop, and support high-performance, scalable enterprise applications. The ideal candidate will have strong expertise in Core Java,…
Added 3 months ago
L
Overseas Contractor- Tandem Java
LTM
ON · Ontario, Canada
- $65 to $75 CAD / hour
- Full-time
We are looking for Tandem Java Specialist with
Added 2 months ago
Java Spark Developer
Capgemini
Montreal, QC
Design, develop, and maintain high-performance Java-based applications and data processing solutions.
Added 3 months ago
E
Senior Software Engineer
Emburse
Toronto, ON
- Full-time
Strong ability to mentor and guide junior developers.
Added 3 months ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 2 months ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 3 months ago
GD
Senior Backend Engineer - App
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
…Senior Engineer I, you will lead feature development, mentor junior engineers, and influence architecture for mission-critical services serving millions of customers across GARAGE and…
Added 3 months ago
M
API Architect
Moneris
Toronto, ON
- Full-time
Provide architectural expertise and domain knowledge to the rest of the organization and develops more junior members on the team
Added 3 months ago
H
Java Software Engineer
Hays
Toronto, ON
- Contract
Develop, enhance, and maintain Java-based microservices and APIs.
Added 3 months ago
V
Jr. QA Engineer
Veriforce
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
As a Junior Software Development Engineer in Test (SDET), you will support the delivery of reliable, high-quality software by performing manual testing and contributing to automated…
Added 3 months ago
LS
Junior/Intermediate Full Stack Developer, Java/Angular - 6 Month Contract - 19286
LRO Staffing
Ottawa, ON
- Contract
This is a strong opportunity for a driven junior-to-intermediate developer who wants substantive production experience, direct ownership of features and exposure to an established…
Added 3 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
Own the design and evolution of workflow orchestration using Apache Airflow (AWS MWAA), driving improvements in reliability and developer experience.
Added 4 months ago
GD
Senior Engineer I
Groupe Dynamite
Mont-Royal, Quebec
- Full-time
…Senior Engineer, you will lead feature development, mentor junior engineers, and influence architecture for mission-critical services serving millions of customers across the GARAGE and…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
…also be involved with managing engagements and training our junior…
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
To qualify for the role, you must have
Added 5 months ago
S
Java Software Engineer
Synechron
Calgary, Alberta
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Core Java Developer with extensive experience in multithreading, collections, data structures, and banking domain expertise. The ideal candidate will…
Added 3 months ago
C
Senior Java Tech Lead - Vice President
Citi
Mississauga, ON
- Full-time
Conduct rigorous code reviews, mentor junior and mid-level developers, and foster a culture of continuous learning and technical excellence
Added 4 months ago
I
Staff Software Developer, Full Stack
Intuit
Toronto, Ontario
- Full-time
Intuit has embraced a hybrid working model and this role will be based out of our Toronto office 3 days per week

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