Senior GenAI Developer
Req Id: 431158
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.
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
We are seeking a highly motivated and technically strong GenAI Developer to join our growing team. The ideal candidate will have a solid foundation in software and machine learning engineering and a passion for turning AI concepts into reliable, production-grade systems. This role offers an excellent opportunity to learn and grow within a dynamic and collaborative environment.
The team's portfolio focuses on agentic and LLM-powered applications built on strong data foundations. We take complicated business problems, dive deep into the data and processes associated with those problems and create end-to-end generative/agentic solutions: from the data pipelines underneath to the agents, retrieval, and evaluation on top.
Key Responsibilities
• Be a contributor to the end-to-end AI solution. Wrangle the data, build the pipelines, design the agents and prompts, define the parameters of productionization, and continuously improve it.
• Build and maintain LLM-powered and agentic applications: orchestration, tool-use, and retrieval-augmented generation (RAG), along with the evaluation and guardrails that keep them reliable.
• Have a strong understanding of AI/ML and modern data foundations and be able to advocate for new ideas and changes to the current roadmap. We work closely as a team, so communication is key.
• Be willing to innovate, particularly on complicated, undefined problems. We often are given an outcome, and it is our job to find the way to take the business there.
• Proactive and results-oriented: Embraces challenges with enthusiasm and a positive "can-do" attitude, consistently exceeding expectations.
• Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness.
• Customer-centric: Demonstrates a strong understanding of customer needs and leverages this knowledge to deliver exceptional service and build strong relationships.
• Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems.
• Collaborative team player: Actively contributes to a positive team environment, fostering collaboration and contributing to shared success.
• Growth-minded: Actively seeks opportunities to develop new skills and apply them to enhance job performance and contribute to organizational goals.
Critical Qualifications
• Bachelor’s degree in computer science, Statistics, Mathematics, Data Science, Engineering or a related field. Relevant experience may be considered in lieu of a degree.
• Approximately 3–6 years of relevant work experience in a software, machine learning, or AI engineering role.
• Experience in a Cloud environment. GCP is preferred — but we recognise that cloud skills are transferable.
• Proficiency in Python and SQL.
• Hands-on experience building with LLMs — prompt design, RAG, and agent frameworks (e.g., Google ADK/LangChain/LangGraph or similar).
• Familiarity with building and maintaining data pipelines (e.g., Beam and Dataflow).
• Experience with popular machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with a major Generative AI platform such as Gemini Enterprise.
Preferred Qualifications
• Experience in the telecommunications or media industry or applying technical solutions to operational/business problems.
• Experience deploying AI/ML systems to production, including monitoring and evaluation (MLOps).
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 : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 07/29/2026
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 [email protected] 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
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