Find work in Canada.

319,837 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 7 mins ago
AC
Student Intern
Allianz Commercial
Toronto, ON
- Full-time
This is a once-in-a-career opportunity to kick start your career with on-the-job learning experience coupled with a structured development program at one of the world’s strongest financial…
Added 7 mins ago
ML
General Labour - AM/ PM Shift
Maple Leaf Foods Inc
Hamilton, ON
- Full-time
Shift Details: 5 days per week, various shifts
Added 7 mins ago
AC
Assistant(e) Administratif(ve) | Admin Assistant
Aston Carter
Saint-Eustache, QC
- $31 to $35 CAD / hour
- Contract
Capacité à travailler avec un volume élevé de données et de réclamations tout en maintenant une grande rigueur et une attention aux détails.
Added 7 mins ago
R
Senior Director, CFO Controls Office
RBC
Toronto, ON
- Full-time
Added 7 mins ago
WM
Senior Accountant
Warner Music Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Provide daily cash application details and operational support to Order-to-Cash team.
Added 8 mins ago
AM
Power Engineer
AB MAURI FOOD INC
Calgary, AB
- Temporary
Job Details: Job Location: Calgary - Calgary, AB, Position Type: Temp, Education Level: Not Specified, Salary Range: Undisclosed, Travel Percentage: None, Job Shift: Any Shift, Job…
Added 8 mins ago
Production Supervisor
Select Finishing
Windsor, ON
Minimum Formal Education Required Upon Hire (details here)
Added 8 mins ago
B
Part Time Banquet Partner (Servers, Stagers , Bartenders)
Brookstreet
Ottawa, ON · Kanata, ON
- Part-time
Ability to perform job functions with minimal supervision
Added 21 mins ago
RT
Maternity Nurse
Russell Tobin
BC · British Columbia, Canada
- $53 to $68 CAD / hour
- Contract
Added 22 mins ago
V
Senior Software Developer
Voltera
Waterloo, ON
- Full-time
The expected base salary range for this role is CAD $110,000–$135,000. Final compensation will be based on job-related skills, experience, and qualifications. This range reflects base pay…
Added 22 mins ago
JH
Caseworker [Community Outreach] - (Term, Full-time) #2026082
John Howard Society Of Saskatchewan
Saskatoon, SK
- Full-time
The above statements reflect general details considered necessary to describe the principal functions of the job and shall not be construed as the detailed description of all work…
Added 22 mins ago
TS
Casual Shelter Worker
The Salvation Army Canada and Bermuda Territory
Port Alberni, BC · Alberni Valley Corps
- Part-time
The job incumbent may be exposed to the risk of minor to moderate injury or illness due to:
Added 22 mins ago
C
Customer Service Intermediate Analyst
Citi
Toronto, ON · Mississauga, ON
- Full-time
…align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at…
Added 22 mins ago
C
Senior Java Engineering Lead
Citi
Mississauga, ON
- Full-time
…align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at…
Added 37 mins ago
TS
Casual Shelter Worker
The Salvation Army in Canada
Port Alberni, BC
- Part-time
The job incumbent may be exposed to the risk of minor to moderate injury or illness due to:
Added 37 mins ago
TA
Field Marketing Manager - 12-month maternity contract
The Adaptavist Group
Pickering, ON
- Full-time
Work with suppliers and partners to coordinate and oversee end-to-end event details, including event communications, logistics such as venue selection and contracts, budgeting, booth…
Added 37 mins ago
IM
Controller
INCOM Manufacturing Group
Hamilton, ON
- Full-time
…We're looking for someone who enjoys being involved in the details while also identifying opportunities to improve processes and…
Added 38 mins ago
C
Financial Services Representative II
CIBC
Salmon Arm, BC
- Full-time
You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision making.
Added 38 mins ago
C
Manager, Finance Governance & Controls (12 months)
CIBC
Toronto, ON
- Full-time
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of…
Added 38 mins ago
C
Senior Specialist, Tax Reporting Operations & Regulatory Initiatives
CIBC
Toronto, ON
- Full-time
At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, details on your work arrangement (proportion of on-site and remote…
Added 38 mins ago
C
Client Service Manager, Trade Finance Operations
CIBC
Toronto, ON
- Full-time
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of…
Added 38 mins ago
B
Manager, Media Partnerships
BMO
Toronto, ON · YNG
- Full-time
Added 38 mins ago
B
Regional Manager, Retail Insurance
BMO
Montreal, QC · HO
- Full-time
Added 38 mins ago
B
Associate Director, Deposits
BMO
Toronto, ON · FCP
- Full-time
Added 38 mins ago
B
Senior Supplier Relationship Manager
BMO
Toronto, ON · BMOPLACE
- Full-time

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