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Added 3 days ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 3 days ago
NS
Senior QA Automation Engineer - Contact Center & IVR
N2P Systems
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a Senior Quality Engineering professional with strong expertise in Contact Center platforms, IVR/Routing automation, and UI/API test automation. The role will contribute to…
Added 3 days ago
Senior SDE, VPC Lattice
Amazon
Vancouver, BC
We are seeking a Senior Software Development Engineer to help scale the next generation of our networking architecture and control plane. As Lattice adoption accelerates, the hard problems…
Added 3 days ago
3
Senior DevOps Engineer
3DentAI
Vancouver, BC
- Other
We’re looking for a Senior DevOps Engineer to take ownership of our existing AWS infrastructure, including maintaining our AI model deployed on Amazon SageMaker, and to build and scale the…
Added 6 days ago
MA
AI Architech
Meeru AI Inc
Remote, Canada
- Other
- Remote
Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and…
Added 11 days ago
Senior Software Development Engineer, AWS Eventbridge
Amazon
Vancouver, BC
…service for building GraphQL and Pub/Sub APIs that securely connect applications to data and events at scale. Developers use AppSync to bring together data from sources like Amazon…
Added 11 days ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 11 days ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
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…
Added 12 days ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 12 days ago
Applied AI Engineer
ContactMonkey
Toronto, ON
You'll work alongside senior engineers, Product, and our Chief Product & Technology Officer (CPTO) to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and…
Added 12 days ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 12 days ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 13 days ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 16 days ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 19 days ago
W
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Senior Software Development Engineer, you will be a technical leader on the team responsible for maintaining and building our pay-related features. This is a hands-on-keyboard role…
Added 23 days ago
D
AWS Architect/ Tech Lead
Deloitte
Toronto, ON
- Full-time
…throughout the transformation lifecycle. You will work closely with senior business and technology stakeholders, architecture governance forums, and delivery teams to translate business…
Added 24 days ago
EA
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
- Full-time
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 25 days ago
A
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk is looking for a talented Senior Software Engineer to join our growing Access team leading the User Management and Administration capabilities supporting all Autodesk customers!
Added 25 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
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…
Added 25 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
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…
Added 25 days ago
Software Development Engineer, Senior Leader Experiences - Workforce Planning
Amazon
Vancouver, BC
As part of the Amazon-wide Amzonian Leadership Experiences team, the Senior Leadership team’s mission is to build workforce planning application suite. We develop philosophies, mechanisms…
Added 25 days ago
Software Development Manager, Ring Cloud Connectivity Org
Amazon
Toronto, ON
- Partner with senior leadership to communicate progress, surface risks, and influence technical and product direction
Added 26 days ago
O
Senior Software Engineer, PAM
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative,…
Added 26 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 26 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…

Urban Ridge Supplies

Senior Forward-Deployed AI Engineer

Toronto, ON, Canada

Hybrid

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Sep 24, 2026

Original job description

Req Id: 431188

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

The Bell Mobility team offers the best and latest mobile devices, wireless services and Internet of Things solutions to consumer and business customers, with the top speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest technology

Summary

The Technology Services Applied AI team is a forward-deployed engineering team that embeds across Bell to build, ship, and integrate classical ML, AI agents, and automation into existing enterprise systems.

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

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.
Partner with stakeholders to produce solutions with high adoption rates and scalability for ease of growth and reusability across business domains.
Embed into cross-unit squads and lead application builds, owning each engagement end-to-end.
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).
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

4-7 years in software engineering, including 2 to 3 years hands-on with GenAI/agents.
Experience designing and deploying AI systems on a major cloud platform (e.g., Google Cloud).
Production experience building and iterating upon 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 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

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.

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

Work Arrangement: Hybrid

Application Deadline: 10/09/2026

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.

Job Id: N3j1pAr1V1cwFGKSTwsrXNrEr3aRo1mFsDp1QXKjC7HbFfUiTMcy22MTzSgOrr1wPZeoAk44PFj11+qHbbxdbY6r8kXAl5WZWg==

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More about this job

Responsibilities

The engineer will own end-to-end engagements by scoping problems, designing AI solutions, and integrating them into enterprise systems. They will also lead application builds and mentor early-career engineers within cross-unit squads.

Requirements

Candidates must have 4-7 years of software engineering experience, including 2-3 years of hands-on work with GenAI and agentic systems. Proficiency in Python, cloud platforms, and RAG architectures is required to build and deploy production-grade AI solutions.

Skills

Python
GenAI
AI agents
Machine learning
Cloud platforms
Google Cloud
Amazon Bedrock
Data pipelines
Vector databases
RAG architectures
Model Context Protocol
Automation
Software engineering
APIs
LLMOps
MLOps

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Competitive salary

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
GenAI
AI Agents
Machine Learning
Python
Google Cloud
Amazon Bedrock
Salesforce
ServiceNow
Model Context Protocol
RAG
Vector Databases
Data Pipelines
Automation
Software Engineering
LLMOps
MLOps
Enterprise Systems
Multi-agent Systems
API
Cloud Computing
Scalability
Prototyping
Production-grade
Mentorship
Stakeholder Management
Consulting
Observability
Evaluation Standards
ROI

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