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. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. 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 cutting-edge, 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. 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. 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. 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., 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. 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). ~ Proven record shipping AI products with measurable financial outcomes (e.g., Exposure to MLOps/LLMOps for deploying and monitoring in production. #Adequate knowledge of French is required for positions in Quebec. Job Status: Regular
- Full Time 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. As part of our team, you will 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 will be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. 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. For a confidential inquiry, email your recruiter or recruitment@bell.
If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit the 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. Bell, one of Canada's Top 100 Employers. #

📌 Senior Forward Deployed AI Engineer (Montreal)
🏢 Bell
📍 Montreal