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Added 13 mins ago
OO
Data Analyst, Customer Support Operations
OCS Ontario Cannabis Store
Toronto, ON
- Full-time
Partner closely with the Data Science team to design, test, validate, and implement new reporting features and analytical capabilities.
Added 15 mins ago
C
Director, Capital Markets Accounting
CIBC
Toronto, ON
- Full-time
…related to capital markets activities. It supports prudent risk management, ensures alignment with accounting standards, oversight on valuation, profit-and-loss results, and balance sheet…
Added 15 mins ago
C
Senior Manager, Technical Quality Engineering & AI Adoption
CIBC
Toronto, ON
- Full-time
…stakeholders to understand requirements and ensure comprehensive test coverage. Key responsibilities include analyzing test results, identifying defects, and partnering with development…
Added 15 mins ago
C
Relationship Manager, Commercial Banking
CIBC
Grande Prairie, AB
- Full-time
…support to account teams through client acquisition, relationship management and credit management processes as well as providing transactional support for client specific financing…
Added 15 mins ago
M-
Développeur Logiciel Principal.e, Plan de Contrôle - Laboratoire d'IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
Établir les pratiques de test, d'observabilité, de documentation et de publication pour le plan de contrôle, et participer à son exploitation dans des environnements de référence.
Added 15 mins ago
IT Business Systems Analyst
The Canada Life Assurance Company
London, ON · Toronto, ON
Works with cross-departmental staff and management to analyze how existing systems may be improved to better support their business functions.
Added 15 mins ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Vancouver
EY
Vancouver, BC
Use AI tools such as Microsoft Copilot, Copilot Studio, Power Platform, and other emerging technologies to rapidly prototype and test solutions.
Added 15 mins ago
Staff Acoustics & Noise Control Specialist
Black & Veatch Family of Companies
Markham, ON
…facilities and pipelines, water and wastewater treatment facilities, data centers, and food and beverage industries. As a full-service environmental consulting practice, services include…
Added 30 mins ago
GM
Software Engineering Manager - Vehicle Data Platform
General Motors
Oshawa, ON · Markham, ON
- Full-time
Experience with at least one of the following: control plane or fleet management software, data collection and transfer pipelines, logging or telemetry software, or SDKs and libraries used…
Added 30 mins ago
FG
Analyst Tester
FNZ Group
Toronto, ON · CA Toronto Yonge St
- $79,000 to $108,000 CAD / year
- Full-time
Use internal defect tracking and test case management system(s) to document test cases, record defects and record test case execution results.
Added 30 mins ago
BC
Senior Electrical Engineer
Bantrel Co.
Leroy, SK
- Full-time
Bantrel is proud to be a leading provider of Engineering, Procurement, Construction and Construction Management (EPC / EPCM) services in Canada.
Added 43 mins ago
BS
Senior Business Systems Analyst
Brainhunter Systems Ltd
Toronto, ON
- Contract
Working familiarity with modern digital technology categories - including front-end applications, content management, personalization, workflow and decisioning, cloud, data platforms and…
Added 43 mins ago
CL
IT Business Systems Analyst
Canada Life
Toronto, ON
- Full-time
Works with cross-departmental staff and management to analyze how existing systems may be improved to better support their business functions.
Added 43 mins ago
BC
Workday HCM Senior Consultant
BDO Canada
Toronto, ON
- Full-time
Coordinate effectively with cross-functional teams, including integrations, data, reporting, security, testing, change management, and project management, to support an integrated solution.
Added 43 mins ago
D
Lead AI .Net Developer
Digitive
Canada
- Contract
Hands-on Agentic SDLC Implementation: Build, test, and deploy stateful multi-agent workflows, tool/function-calling mechanisms, and structured LLM output parsers in C#/.NET to automate…
Added 43 mins ago
K
Senior Product Manager - Social Experience
Kraken
Canada
- Full-time
Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first…
Added 43 mins ago
V
Python Developer with core Banking and payment
VySystems
Toronto, ON
- Full-time
Develop, test, and launch new features and releases for the Platform.
Added 43 mins ago
BC
Workday Finance Senior Consultant
BDO Canada
Toronto, ON
- Full-time
Coordinate effectively with cross-functional teams, including integrations, data, reporting, security, testing, change management, and project management, to support an integrated solution.
Added 43 mins ago
CL
IT Business Systems Analyst
Canada Life
London, ON
- Full-time
Works with cross-departmental staff and management to analyze how existing systems may be improved to better support their business functions.
Added 43 mins ago
TI
Capital Market business analyst
Tekgence Inc
Montreal, QC
- Contract
Experience with UAT, test planning, and defect management.
Added 43 mins ago
E
AI Continuous Improvement Specialist
Evans
Calgary, AB
- Full-time
Design, develop, test, and deploy AI-enabled tools, workflow automations, and business solutions.
Added 43 mins ago
S
Medical Laboratory Assistant - Vancouver Casual
Sanya’k̓ula
Vancouver, BC
- Part-time
…Information systems and related database system/s to enter data, generate blood collection lists and reports, etc. Answers telephones, files and distributes materials as…
Added 43 mins ago
PH
Manager, Business Function Products, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time
…partners across British Columbia's health organizations to design, test and roll out this functionality during the system deployment and go-live. Leading a team of experienced HCM…
Added 43 mins ago
SC
Growth Marketing & User Acquisition
Sony Computer Entertainment France SA
Waterloo, ON
- Full-time
…creative testing, audience development, measurement, and budget…
Added 43 mins ago
EC
Risk Analyst
Experis Canada
Toronto, ON
- Contract
We are looking for a Risk Analyst to support Risk Management with control testing, primarily focused on regulatory controls.

Bell

AI Engineer

Toronto, ON, Canada

Hybrid

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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.

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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

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