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Added 12 mins ago
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Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 12 mins ago
A
Principal ASIC Design Engineer
AMD
Markham, ON
- $155,200 to $232,800 USD / year
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 12 mins ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
…pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI…
Added 12 mins ago
A
Senior Software Engineer - GPU Profiling Tools
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
AMD is looking for a Senior Software Engineer - GPU Profiling Tools for the Developer Tools team, where you will contribute to the development and optimization of GPU profiling tools for…
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Software Engineer
ProxyLink
Toronto, ON
- Contract
Added 12 mins ago
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System Design Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a talented and experienced System Design Engineer to join our dynamic team at Nokia. In this role, you will play a crucial part in analyzing carrier networking environments…
Added 14 mins ago
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Data Engineer II
TD
Toronto, ON
- Full-time
Added 14 mins ago
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Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Experienced engineer ready to lead people or current Engineering Manager from a product-focused tech company
Added 14 mins ago
Senior Analytics Engineer
Aviva
Markham, ON
Added 14 mins ago
Scientifique principal des données I
Bell
Toronto, ON
The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
Added 30 mins ago
MI
Mould Maker
Magna International
Tecumseh, ON
- Full-time
Interact with Process Engineer, Quality Assurance, Manufacturing and Maintenance
Added 30 mins ago
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Principal Software Engineer
Forward Financing
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…analytical capabilities. We’re seeking a seasoned Principal Engineer with an architect’s mindset to own the technical vision and execution. As a technical leader, you will be instrumental…
Added 44 mins ago
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Ingénieur En Mécanique / Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
Added 44 mins ago
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Artificial Intelligence Engineer
Levio
Canada
- Full-time
…systems that reach production and stay there. A Forward Deployed Engineer runs discovery with the customer's own stakeholders, scopes the use cases worth building, then writes and deploys…
Added 44 mins ago
TC
ITSM Transition Anayst, Network Junior Engineer Jr
Tata Consultancy Services
Toronto, ON
- Full-time
Added 44 mins ago
A
Continuous Improvement Engineer
Actalent
Mirabel, QC
- $50 to $58 CAD / hour
- Contract
The Continuous Improvement Engineer is responsible for implementing and advancing LEAN methodologies at the site. This role involves collaboration with various departments and management…
Added 44 mins ago
A
Software Development Engineer In Test
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 44 mins ago
AI
Application Specialist
Accuenergy Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Bachelor or master degree in Electrical engineer is required.
Added 44 mins ago
A
Electrical EIT
Actalent
Calgary, AB
- $25 to $28 CAD / hour
- Contract
…beneficial work culture. You will work closely with another engineer, receiving direction and collaborating on…
Added 44 mins ago
A
Hardware Design Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Hardware Design Engineer (Analog & Digital) Talent Network (Open Interest)
Added 44 mins ago
A
Design Verification Engineer
Actalent
Ottawa, ON
- $110,000 to $152,000 CAD / year
- Full-time
We are seeking a Design Verification Engineer to join an experienced R&D organization focused on developing networking switch and network controller IP cores that support advanced Time…
Added 44 mins ago
A
C++ Software Developer/Engineer Open Interest
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
C++ Software Developer/Engineer Talent Network (Open Interest)
Added 44 mins ago
A
Mechanical Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Intermediate Mechanical Engineer Talent Network (Open Interest)
Added 44 mins ago
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AI Workflow & Operations Intern
Semtech
Richmond, BC
- Full-time
…and making them work better. You don’t need to be a software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever…
Added 44 mins ago
A
Systems Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Are you a Systems Engineer interested in exploring new opportunities?

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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