Jobs in Canada

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Added 9 days ago
S
AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Added 9 days ago
S
AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Design scalable, secure architectures that integrate across cloud-native and hybrid environments (AWS, Azure, GCP).
Added 9 days ago
TC
Python Developer
TSR Consulting
Mississauga, ON
- Contract
TSR Consulting is currently seeking a highly motivated Python Engineer for an opportunity in Mississauga, ON Hybrid
Added 10 days ago
C
Specialist Software Development-CA
CN
Quebec, QC
- Full-time
Maintain comprehensive technical documentations and promote basic AI tools (e.g. GenAI code assistance, automated unit testing tools) to streamline personal coding workflows
Added 10 days ago
IC
Python Developer
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Design, develop, test, and support Python-based applications and services.
Added 10 days ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Integrate GenAI solutions with REST APIs, backend services, and enterprise systems.
Added 10 days ago
A
Développeur(-euse) Full Stack (Python)
Akkodis
Montreal, QC
- Contract
Mode de travail : Hybride – Présence au bureau 3 jours par semaine (incluant l'intégration initiale sur site)
Added 10 days ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 11 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 11 days ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 11 days ago
Technology Analyst
Infosys
ON
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 14 days ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering…
Added 14 days ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data…
Added 14 days ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
Deloitte passively is seeking an experienced GenAI & Python Specialist to join our dynamic Operate team on a 1‑year fixed term employment basis. In this role, you will design, build, and…
Added 14 days ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
…Lead Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within a complex life sciences environment. This is a hands-on technical…
Added 14 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
You must possess a strong hybrid skill set: deep expertise in applied machine learning combined with production-grade software engineering skills
Added 15 days ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
Flexible work arrangements and a hybrid work model
Added 15 days ago
Senior Forward Deployed AI Engineer
Bell
Mississauga, ON
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
Added 16 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Proficient in Python for data science and GenAI application development
Added 16 days ago
A
Forward Deployed Solutions Lead
Accenture
Calgary, AB · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Hybrid Azure and on-premises integration experience.
Added 16 days ago
API Lead Architect
Capgemini
Mississauga, ON
Exposure to GenAI/API integrations and cloud-native AI services.
Added 17 days ago
I
Software Developer 1 - API Management Platform
Intuit
Toronto, ON
- Full-time
This is a hybrid role with the expectation of working from our Toronto office 3 days per week
Added 17 days ago
C
AI Architect-Governance & Delivery Lead
CGI
Toronto, ON
- Full-time
…Candidates must demonstrate production experience designing GenAI, RAG, and agentic solutions, and applying AI-assisted engineering to improve productivity, quality, and delivery…
Added 17 days ago
S
Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
Develop strong technical points of view across cloud, data, AI/ML and GenAI, integration, APIs, security, and emerging technologies.
Added 17 days ago
Q-
MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Senior-level Python development across the full data and ML stack.

Bell

Senior Forward Deployed AI Engineer

Mississauga, ON, Canada

Hybrid

Apply on jobs.bce.ca About employer

Applications open in a new tab.

Job details

Workplace: Hybrid
Work location: 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
Posting language: English
Posted: Sep 12, 2026

Original job description

Req Id: 431272

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.

Become an integral part of our Customer Experience team, where you will be at the forefront of shaping our customer journeys. You will build on Bell’s Strategic Imperative to Champion Customer Experience and reinforce our commitment to put the customer first in everything we do. Design innovative, customer-centric processes, policies, products and services, while upholding our Customer-First Commitments to make it easier for customers to do business with Bell.

As part of our team, you will be at the heart of our customer experiences.

Summary

The Technology Services Applied AI team is a forward-deployed engineering team that embeds across Bell to build, ship, and integrate AI agents and automation into existing enterprise systems, and drives the innovation and build funnel for agentic software development. As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking solutions from rapid prototype to production-grade agentic workflows (such as multi-agent systems and Model Context Protocol servers) that deliver measurable ROI. Along the way, you will mentor a paired early-career engineer.

Key Responsibilities

Embed into transformation squads and lead agentic software development builds, owning each engagement end-to-end.
Scope the problem with business partners and decide how to solve it: the right approach across rules, automation, classical ML, and GenAI/agents, and where the solution should live across the systems landscape.
Design, build, and ship production-grade AI agents and automation, integrating with existing enterprise systems and platforms (e.g., Google Cloud, Amazon Bedrock, Salesforce, ServiceNow).
Recognize when a use case requires bespoke modelling and route it to the central data science team.
Mentor and pair with an early-career engineer on the engagement.
Depending on experience, own the team's evaluation standards and quality bar.

Critical Qualifications

Production experience building agentic applications and the capabilities that power them: agent skills and tools, Model Context Protocol (MCP) servers, and multi-agent workflows, taken from prototype to production.
Experience designing and deploying AI systems on a major cloud platform (e.g., Google Cloud).
Experience building data pipelines over structured and unstructured data, using vector databases and retrieval-augmented (RAG) architectures for enterprise AI.\
Strong software engineering foundation, including Python, APIs, and integration with production enterprise systems.
A habit of staying current with fast-moving LLM and agent capabilities, patterns, and tooling.

Preferred Qualifications

5 to 10 years in software engineering, including 2 to 3 years hands-on with GenAI/agents.
Professional experience at a hyperscaler or startup considered an asset
Experience automating on enterprise platforms (Google Cloud, Amazon Bedrock) and familiarity with our key experience platforms (Google, Salesforce, ServiceNow).
Open-source contributions or published work in the agent or LLM space.
Proven record shipping AI products with measurable financial outcomes (e.g., cost reductions, productivity gains, etc.)
Experience setting up evaluation and observability for agentic systems.
Prior client-facing, consulting, or forward-deployed delivery experience.
Exposure to MLOps/LLMOps for deploying and monitoring in production.

#EmployeeReferralProgram

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 11/13/2026

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, Mississauga

Bell, one of Canada's Top 100 Employers.

Apply on jobs.bce.ca About employer

More about this job

Responsibilities

The Senior Forward-Deployed AI Engineer will lead end-to-end engagements to build, ship, and integrate AI agents and automation into enterprise systems. They will also mentor early-career engineers and define evaluation standards for agentic workflows.

Requirements

Candidates must have 5 to 10 years of software engineering experience, including hands-on work with GenAI and agentic applications. A strong foundation in Python, cloud platforms like Google Cloud, and RAG architectures is required.

Skills

Python
GenAI
Agentic software development
Multi-agent systems
Model Context Protocol
Google Cloud
Amazon Bedrock
Salesforce
ServiceNow
Retrieval-augmented generation
Vector databases
Data pipelines
MLOps
LLMOps
Software engineering
API integration

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
GenAI
Agentic AI
Python
Google Cloud
Amazon Bedrock
Salesforce
ServiceNow
RAG
Vector Databases
Multi-agent systems
Model Context Protocol
MLOps
LLMOps
Software Engineering
Automation
Data Pipelines
Enterprise Systems
API
Customer Experience
Consulting
Product Development
Machine Learning
Cloud Computing
Technical Mentorship

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Jobs in Canada