Find work in Canada.

319,590 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 26 mins ago
IF
Senior Data Developer
Intact FC
Montreal, QC
- Full-time
We are looking for a Senior Data Developer (Engineer) to help establish the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. The…
Added 40 mins ago
AI Engineer
Bell
Toronto, ON
We are looking for a hands-on AI Engineer (CP2) to design, build, and deploy the next generation of AI-driven workflows and autonomous systems at Bell.
Added 55 mins ago
BS
GCP Cloud Engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
GCP Infrastructure & Cloud SRE Engineer - • GCP Professional Cloud Architect/DevOps Engineer certification.• Banking/Financial Services domain experience.Key responsibilities• Build and…
Added 1 hour ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
Practical fluency in predictive AI, GenAI and agentic systems, including LLMs, RAG, evaluation, orchestration/tool use, human oversight, model/data lifecycle and observability.
Added 1 hour ago
C
Lead Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
Demonstrated experience acting as a technical team lead, scrum tech lead, or lead engineer guiding engineering teams.
Added 1 hour ago
AT
Senior AI Engineer
Arkhya Tech Inc.
Canada
- Full-time
Implement observability, monitoring, and evaluation frameworks for AI systems.
Added 1 hour ago
H
AI Solution Architect
Hays
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Developing secure AI solution patterns including RBAC, managed identities, private networking, observability, guardrails, and governance controls.
Added 1 hour ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve…
Added 1 hour ago
RV
Radical Ventures: AI Product Engineer
Radical Ventures
Toronto, ON
- Full-time
We are seeking an AI Product Engineer with a passion for building AI-native applications,
Added 1 hour ago
SI
Python Developer
Siri InfoSolutions, Inc.
Toronto, ON
- Full-time
Optimize backend services for performance, security, and observability.
Added 2 hours ago
R
Lead Data Engineer
RBC
Toronto, ON
- Full-time
Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us!
Added 2 hours ago
Software Engineer
Scotiabank
Toronto, ON
We are seeking a highly skilled Software Engineer to design, develop, and support enterprise applications and data platforms. The role requires strong hands-on expertise in software…
Added 2 hours ago
A
Senior Software Developer
Autodesk
Toronto, ON · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a Senior Full-Stack Staff Engineer to provide hands-on technical leadership across our web platform and digital experience ecosystem. This role will be responsible for…
Added 2 hours ago
Senior Software Engineer, Foundational Infrastructure & Networking
Lyft
Toronto, ON
…Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable…
Added 2 hours ago
I
Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Build for security, compliance, observability, high availability, performance, and production resilience from the outset.
Added 3 hours ago
AI
Site Reliability Engineer – Adobe Experience Manager (AEM)
Aptino, Inc.
ON · Ontario, Canada
- Contract
Hiring: Site Reliability Engineer – Adobe Experience Manager (AEM)
Added 3 hours ago
QW
Platform & SRE Engineer
Quantum World Technologies Inc.
Montreal, QC
- Full-time
Deep familiarity with observability stacks: Prometheus, Grafana, alerts, and metrics.
Added 3 hours ago
V
Senior DevOps Engineer
VXG
Toronto, ON
- Full-time
VXG is seeking an experienced DevOps Engineer to join our team and help build reliable, automated, and scalable infrastructure for our cutting-edge video software platform. You will play a…
Added 3 hours ago
XI
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 4 hours ago
C
AI Product Scaling Director
CIBC
Toronto, ON
- Full-time
Advance AI quality and reliability - Create automated testing, evaluation, regression, monitoring, and observability patterns that support both traditional software quality and the unique…
Added 4 hours ago
J
DevOps Engineer, New Grad
Jobright.ai
Canada
- Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 5 hours ago
GN
Senior Back End Engineer
Ground News
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you'll be working on the core systems that make Ground News tick and ready to serve millions of readers. You'll sit with our backend chapter and work with out…
Added 8 hours ago
A
Principal Network Engineer
Aviso
Vancouver, BC
- $135,000 to $145,000 CAD / year
- Full-time
We're looking to fill an opening for a Principal Network Engineer to join our Technology Ops & Support Partners team.
Added 9 hours ago
DN
Senior Staff Machine Learning Platform Engineer
Digital Nomad World
ON · Ontario, Canada
- Full-time
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and…
Added 11 hours ago
Q
AI Engineer (Python)
Quartz
Open Hall, NL
- Full-time
We're looking for an AI Engineer to own Charlie, the personal banker at the heart of Quartz. Charlie is live with UK members today, answering questions about their pensions, ISAs, savings…

Bell

AI Engineer

Toronto, ON, Canada

Hybrid

Apply About employer

Applications open in a new tab.

Job details

Workplace: Hybrid
Apply by: Oct 22, 2026
Experience: 2 to 4 years of professional software engineering or data science experience, including at least 1 to 2 years of hands-on experience building with LLMs and agentic architectures.
Posting language: English
Posted: Oct 5, 2026

Original job description

Req Id: 433042

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

Summary

The Team

The Applied AI & Data Science team builds and deploys production-grade AI solutions across Bell. We bridge the gap between cutting-edge AI research and operational enterprise systems, delivering autonomous agentic workflows, conversational intelligence, and machine learning systems that transform our internal operations and customer experiences.

Position Description

We are looking for a hands-on AI Engineer (CP2) to design, build, and deploy the next generation of AI-driven workflows and autonomous systems at Bell.

In this role, you will work closely with data scientists, senior engineers, and business squads to turn prototypes into reliable, production-ready AI applications. You will focus on building agentic workflows, integrating tools and enterprise services via modern protocols (such as Model Context Protocol), and connecting foundation models to enterprise data sources. The ideal candidate combines a strong software engineering foundation with a practical, builder mindset in the rapidly evolving LLM and agent ecosystem.

Key Responsibilities

Build & Ship Agentic Applications: Develop, test, and deploy stateful, multi-step agentic workflows and tool-calling systems that automate complex operational and analytical processes.
Enterprise System Integration: Implement robust APIs, connectors, and protocols (such as Model Context Protocol / MCP) to securely connect AI agents to internal services, databases, and enterprise platforms.
Data & Knowledge Grounding: Build and maintain scalable data retrieval pipelines over structured and unstructured data, utilizing vector search and retrieval-augmented (RAG) architectures to ensure model accuracy and contextual awareness.
Squad Collaboration: Partner with cross-functional squads (data scientists, product managers, and enterprise architects) to take solutions from rapid proof-of-concept to production deployments.
Reliability & Quality: Implement evaluation metrics, automated unit/integration tests, and observability to monitor model performance, latency, cost, and reliability in production.

Critical Qualifications

A degree in Computer Science, Engineering, or a related field.

2 to 4 years of professional software engineering or data science experience, including at least 1 to 2 years of hands-on experience building with LLMs and agentic architectures.
Strong software engineering foundation: Proven proficiency in Python, clean code architecture, robust API design, and integration with production enterprise systems.
Hands-on experience with modern AI patterns: Practical familiarity with tool/function calling, agent orchestration patterns, and retrieval-augmented generation (RAG) over enterprise data.
Cloud & Data Systems: Experience deploying and operating applications on a major cloud platform (e.g. Google Cloud Platform) and working with structured/unstructured databases.
Continuous Learning: An active habit of staying current with fast-moving foundation model capabilities, agent protocols, and developer tooling.

Preferred Qualifications

Experience deploying AI applications within enterprise environments (e.g. GCP, microservices architecture, enterprise SaaS integrations).
Familiarity with emerging open standards in AI tooling (e.g. Model Context Protocol / MCP, agent evaluation frameworks).
Practical exposure to LLMOps / MLOps practices, including prompt evaluation, trace logging, CI/CD, and containerized deployments.
Experience collaborating with or working alongside data science teams to productionize analytical pipelines.
A public GitHub portfolio or open-source contributions demonstrating hands-on experimentation with agents or LLMs.

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Toronto || Canada : Ontario : Mississauga
Work Arrangement: Hybrid
Application Deadline: 10/21/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

Apply About employer

More about this job

Responsibilities

The AI Engineer will design, build, and deploy production-grade agentic workflows and autonomous systems. They will collaborate with cross-functional teams to integrate foundation models with enterprise data sources and ensure system reliability.

Requirements

Candidates must have a degree in Computer Science or Engineering and 2 to 4 years of professional experience, including 1 to 2 years working with LLMs. Proficiency in Python, API design, and cloud-based data systems is required.

Skills

Python
LLM
Agentic workflows
RAG
Machine learning
API design
GCP
Vector search
Model Context Protocol
Software engineering
Data science
System integration
MLOps
Prompt evaluation
Containerization
CI/CD

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
Service discount
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Python
LLM
Agentic workflows
RAG
Machine learning
GCP
API
Model Context Protocol
Vector search
Data science
MLOps
CI/CD
Containerization
Enterprise systems
Software engineering
Automation
Observability
Prompt evaluation
Microservices
Cloud computing
Data retrieval
Foundation models
Production deployment
Scalable architecture

Report this job