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Added 2 hours ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early…
Added 7 hours ago
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Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time…
Added 7 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 8 hours ago
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Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 8 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time…
Added 8 hours ago
LC
Senior Director, Pharmacy Experience and Transformation
Loblaw Companies Limited
Toronto, ON
- Full-time
Reporting to the VP, Pharmacy Operations, Clinical Excellence and Transformation, the Senior Director, Pharmacy Experience and Transformation will lead the strategy and execution of…
Added 9 hours ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC
- Full-time
…embedded within Sales Operations. You will work directly with the Senior Director of Global Sales Operations to design, test, and document AI-enabled workflows that improve efficiency,…
Added 11 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.
Added 12 hours ago
AI Engineer
Bell
Toronto, ON
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,…
Added 13 hours ago
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Member of Technical Staff (Agents)
MLabs
Toronto, ON
- Full-time
The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos,…
Added 14 hours ago
SG
Forward Deployed Engineer
Sperton Global AS
Canada
- Full-time
Work directly with senior operators and business leaders
Added 17 hours ago
Member of Technical Staff (Agents)
MLabs
Toronto, ON
The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos,…
Added 2 days ago
CI
Sr. Professional Engineer
Calian in Space & Technology
Ottawa, ON
- Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets for the…
Added 2 days ago
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Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
We're hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production.…
Added 2 days ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 2 days ago
W
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll…
Added 2 days ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 days ago
I
IMPONEXPO BUILDER COHORT
ImpoNexpo
Toronto, ON
- Full-time
You may be a senior engineer, AI researcher, product designer, technical founder, data specialist, research engineer, open-source contributor or an unusually capable emerging talent.
Added 3 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 3 days ago
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Senior Software Engineer, Site Reliability Engineering
Thumbtack
Remote, Canada
- Full-time
- Remote
…experience. Our work is high leverage impacting how Engineering, Applied Science, and many other teams deliver, run, and observe…
Added 3 days ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and…
Added 3 days ago
C
Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
This is a senior individual-contributor role, where you'll be expected to establish and formalize how Clio tracks adversaries. This is the first hire in a function Clio intends to grow -…
Added 3 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 4 days ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 4 days ago
Senior Software Development Engineer, Amazon Private Brands
Amazon
Vancouver, BC
We are looking for an experienced Software Development Engineer III who's comfortable at all levels of the stack to design, build, and operate AI-powered systems at Amazon scale. Whether…

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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