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Added 6 mins ago
DS
Senior AI Engineer / Architect
D3 Security
Vancouver, BC
- Full-time
maryWe are looking for a Senior AI Engineer to help architect and scale AI-powered product systems across our platform and engineering workflows. This role is best suited for someone with…
Added 8 mins ago
V
Senior Software Developer
Voltera
Waterloo, ON
- Full-time
Added 8 mins ago
Senior Technical Program Manager
ShyftLabs
Toronto, ON
ShyftLabs is seeking an experienced Senior Technical Program Manager – Cybersecurity to support one of our leading enterprise clients. In this role, you will lead the delivery of…
Added 8 mins ago
Fraud Officer (6 Months contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Receives direction from the Senior Manager, Financial Crime Management, and other members of Senior Leadership Teams as appropriate on significant regulatory, reputational risk and policy…
Added 8 mins ago
DG
Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
· Own assigned stories from start to finish, with code review and support from senior developers.
Added 8 mins ago
C
Senior Java Engineering Lead
Citi
Mississauga, ON
- Full-time
As a Senior Backend Java Engineer, you will design and build scalable backend systems that power critical applications within Citi's technology organization. This hands-on role puts you at…
Added 22 mins ago
KL
Associate Lawyer
KSI Law
Toronto, ON
- Full-time
…matters - building foundational litigation experience under senior counsel while contributing directly to active files from day…
Added 22 mins ago
KL
Senior Legal Resolutions Officer
KSI Law
Markham, ON
- Full-time
The Senior Legal Resolutions Officer is the most senior non-management role in Kreditor Services, carrying legal collections criteria and responsibilities while working active legal files…
Added 22 mins ago
IC
Guidewire Developer
Infotek Consulting Inc.
Toronto, ON
- Contract
We are seeking an experienced Guidewire PolicyCenter Developer to join an insurance technology team supporting the development, configuration, integration, and enhancement of PolicyCenter…
Added 23 mins ago
C
Senior Information Security Specialist
CIBC
Toronto, ON
- Full-time
As a member of CIBC’s CTPR team, you’ll play a crucial role in all matters of Information Security. As a Senior Information Security Specialist you will be responsible for consulting on…
Added 23 mins ago
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Senior Director, Group Product Owner - Enterprise Governance, Risk & Compliance (eGRC)
CIBC
Toronto, ON
- Full-time
As Senior Director, Group Product Owner – Enterprise Governance, Risk & Compliance (eGRC), you'll shape how CIBC identifies, manages, and responds to operational risk. You will shift our…
Added 23 mins ago
C
Integrated Solution Leader – Future Fighter Lead-In Trainer (FFLIT)
CAE
Ottawa, ON · Montreal, QC
- Full-time
The Training System Integrated Solution Leader (ISL) – Future Fighter Lead-In Trainer (FFLIT) is part of a team of senior training development professionals responsible for designing…
Added 23 mins ago
Senior Okta Engineer (IAM)
Charger Logistics Inc
Brampton, ON
Senior Okta Engineer (IAM) – Non-Human & AI Agent Identity
Added 23 mins ago
Developer/Technical Architect - Microsoft D365 Customer Engagement
EY
Toronto, ON · Vancouver, BC
EY Canada is seeking a Developer/ Technical Architect to join our growing Microsoft Dynamics 365 Customer Engagement team. Our Microsoft solutions group extends from advisory and planning,…
Added 23 mins ago
Product Manager 1
Bell
Toronto, ON
Pitching innovative solutions and recommendations in concise and compelling documents for presentation to senior executives.
Added 39 mins ago
E
Sr Product Mgr, eBay Live-Seller/Host
eBay
Toronto, ON
- Full-time
As Senior Product Manager, Seller and Host Experience – eBay Live, you’ll lead strategic opportunities across the eBay Live seller ecosystem, defining the product vision for how sellers and…
Added 39 mins ago
E
Sr Product Mgr, eBay Live-Seller/Host
eBay
Toronto, ON
- Full-time
As Senior Product Manager, Seller and Host Experience – eBay Live, you’ll own critical parts of the seller and host journey. You’ll develop a deep understanding of seller needs and…
Added 39 mins ago
MI
TIM Lead CA Biscuits- East York
Mondelēz International
Toronto, ON · Plant - East York, Canada
- Full-time
…manufacturing technology related to Mondelēz products. You serve as a senior technical resource for the organization, regularly interacting with senior…
Added 39 mins ago
H
Senior Test & Validation Engineer
Humanoid
Burnaby, BC
- Full-time
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state,…
Added 39 mins ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 39 mins ago
T&
Senior Manager, Talent Acquisition
Turner & Townsend
Toronto, ON
- Full-time
…Talent Acquisition professionals, this role will partner with senior business leaders to develop and execute workforce plans, build scalable recruitment strategies, and ensure the talent…
Added 39 mins ago
T&
Senior Manager, Talent Acquisition
Turner & Townsend
Calgary, AB · Toronto, Canada
- Full-time
…Talent Acquisition professionals, this role will partner with senior business leaders to develop and execute workforce plans, build scalable recruitment strategies, and ensure the talent…
Added 39 mins ago
Senior or Staff Software Engineer, Backend
League Inc.
Canada
As a Senior or Staff Software Engineer, Backend on our Product Engineering team, you bring deep technical expertise to the design and delivery of the foundational services and developer…
Added 39 mins ago
Sr. Technical Support Specialist
Open Text Corporation
Waterloo, ON
The Senior Technical Support Specialist is a key technical contributor within OpenText Global Technical Support. The role owns complex and highly visible client issues from investigation…
Added 53 mins ago
D
Sr Software Engineer
Deltek
Calgary, AB
- Full-time
Deltek is looking for a Senior Software Engineer to join our established Replicon Core team, a tight-knit group of full-stack developers, architects, and rising talent building products…

Bell

AI Engineer

Toronto, ON, Canada

Hybrid

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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.

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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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