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Added 10 mins ago
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Added 1 hour ago
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Lead cross-functional teams spanning architecture, engineering, data, integration, security, operations and programme delivery.

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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