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Added 10 mins ago
Technical Director – Tailings
GHD Group Pty Ltd
Bedford, NS
…complex assignments and to be willing and qualified to assume an Engineer of Record (EOR) role for selected facilities, subject to project requirements and GHD’s governance…
Added 10 mins ago
M
Senior Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for a Senior Software Engineer to join our Affinity Life technology team. In this hands-on role, you will design, develop, modernize, and support mission-critical enterprise…
Added 10 mins ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Toronto, ON
- Full-time
Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All fi
Added 41 mins ago
SG
Controls Engineer - North Bay
State Group Automation (formerly Fletcher Group Automation)
Canada
- Full-time
This posting is for an existing vacancy. Artificial intelligence is not used to screen, assess, or select applicants for this position.
Added 55 mins ago
AM
Principal Software Development Engineer, GPU Primitives Libraries
Advanced Micro Devices, Inc
Calgary, AB
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
Added 1 hour ago
T
Senior Requirements Engineer
Thales
Ottawa, ON
- Full-time
…the system lifecycle. At the senior level, the Requirements Engineer establishes and continuously improves processes and tools to deliver high‑quality requirements while collaborating…
Added 1 hour ago
Senior DevOps / DevSecOps Engineer
Capco
Toronto, ON
Use of Artificial Intelligence in Talent Acquisition
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Software Engineer - Factory Apps - Intern
Altera
Toronto, ON
- Full-time
We use artificial intelligence to screen, assess, or select applicants for the position. This posting is for an existing vacancy. Canadian work experience is not required for this role.…
Added 2 hours ago
AF
Graduate Student, Forward Deployed Engineer
Ascendance Foundry
Toronto, ON
- Full-time
Comfortable with some programming (Python or similar): You don't need to be a professional software engineer, but you can wrangle data and ship something that runs.
Added 2 hours ago
S
Data & AI Engineer - Real World Data and Healthcare Intelligence
Sanofi
Toronto, ON
- Full-time
Added 3 hours ago
Intermediate Hydrotechnical Engineer – Tailings
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Bedford, NS
The use of artificial intelligence (AI) in recruiting is just getting started and may be used during the process to improve efficiency and fairness. Your application may be reviewed by both…
Added 3 hours ago
Manager, Train Operations
VIA Rail Canada
Montreal, QC
To support our recruitment process, we may use artificial intelligence and automated tools that support, but never replace, human judgment. All hiring decisions are made by our hiring…
Added 3 hours ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Engineer AIOps capabilities that integrate telemetry and service context to improve observability, correlate events, detect anomalies, and support proactive issue detection and response.
Added 3 hours ago
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Program Manager, Wastewater Services
Municipality of Chatham-Kent
Chatham-Kent, ON · Chatham, ON
- Full-time
Added 3 hours ago
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Program Manager, Water Services
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Chatham-Kent, ON · Chatham, ON
- Full-time
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Powerhouse Engineer + Mechanic
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Vancouver, BC
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Added 4 hours ago
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DSP Applications Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is
Added 4 hours ago
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Embedded Software Engineer
Eleven-X
Waterloo, ON
- Full-time
Artificial intelligence (AI) may be used during our selection process.
Added 4 hours ago
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Senior Cloud and DevOps Engineer - Vice President
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 5 hours ago
S
Sales Engineer, Channel Sales
SOTI
Mississauga, ON
- Full-time
Added 5 hours ago
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Building Operator
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Toronto, ON
- Full-time
…check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this…
Added 5 hours ago
Software Developer, Data Engineering
Robinhood
Toronto, ON
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process;…
Added 5 hours ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Toronto, ON
- Full-time
Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All fi
Added 5 hours ago
H
Junior Cyber Incident Response Analyst
Hootsuite
Vancouver, BC
- Full-time
Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All fi

Bell

Senior Forward Deployed AI Engineer

Mississauga, ON, Canada

Hybrid

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Job details

Workplace: Hybrid
Apply by: Nov 14, 2026
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.

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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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