Job Description

Req Id: 426868



At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It's all developed and delivered by the members of #TeamBell and we're always on the lookout for people with great skills and experiences.





We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have - making every day better for people as they connect, work, learn and play.





Join us. You belong at Bell.





At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better experiences and service innovations to Canadians.



Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

Summary

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We are seeking a highly skilled, hands-on AI Engineer to join our Customer Operations team, dedicated to creating the ultimate service experience for our residential, wireless, and small business consumers. As an AI Engineer at Bell, you will build and deploy the next generation of AI-powered solutions. The ideal candidate is a passionate builder with deep expertise in Generative AI, backend systems, and cloud architecture.



You will play a key role in designing intelligent, autonomous agentic systems from the ground up, integrating them into our core operations, and driving productivity by automating complex processes. This team leverages big data and artificial intelligence to develop intellectual property and deliver a world-class service experience.

Key Responsibilities

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Build & Deploy: Spearhead the development of solutions using Large Language Models (LLMs), including the design and implementation of sophisticated Retrieval-Augmented Generation (RAG) pipelines to ensure accuracy and context-awareness. Develop Agentic AI: Design and construct stateful, multi-step agentic AI systems using modern frameworks to automate complex workflows and decision-making processes. Integrate: Design and maintain scalable backend systems, including RESTful APIs and microservices on platforms like Cloud Run, to serve and integrate AI models into enterprise applications. Analyze & Search: Develop and fine-tune advanced NLP models and implement semantic search solutions using vector databases and embeddings. Collaborate: Partner with data scientists, product managers, and business stakeholders to translate concepts into production-ready AI features, ensuring responsible and ethical AI practices.

Critical Qualifications

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Bachelor's degree in computer science, Engineering, AI or a related quantitative field. 1-3 years of experience in a software or AI engineering role with proficiency in Python and its core ML and data science libraries. Hands-on experience with Google Cloud Platform (GCP), specifically with the Google AI Platform (Vertex AI), Cloud Run, and BigQuery Demonstrated experience building Retrieval-Augmented Generation (RAG) systems and working with Large Language Models (LLMs) and vector databases. Experience with frameworks for building AI agents, such as ADK, LangChain or LangGraph. Solid understanding and practical experience in building and consuming RESTful APIs within a microservices architecture. Proficiency with both SQL and NoSQL databases and concepts of data modeling.

Preferred Qualifications

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Experience with automation platforms or RPA workflows. Exposure to modern DevOps and MLOps practices, including CI/CD, containerization, and orchestration. Familiarity with AI-enhanced developer productivity tools (e.g., GitHub Copilot, Cursor). A public portfolio (e.g., GitHub) showcasing relevant projects.

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 || Canada : Ontario : Mississauga || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 11/30/2025



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.



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