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, skilled 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 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. 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. 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. 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., 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. ~ 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. 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’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. 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 [email protected] 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. #

📌 Senior Forward-Deployed AI Engineer (Toronto)
🏢 Bell Canada
📍 Toronto