Req Id: 430479
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, professional 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
We are seeking a visionary and hands-on Senior AI Agentic Architect to lead the strategic design, development, and deployment of next-generation autonomous AI agents and enterprise AI solutions. In this role, you will bridge the gap between cutting-edge artificial intelligence concepts and robust enterprise software engineering. You will be responsible for architecting scalable, cloud-native AI systems, driving the development of complex Retrieval-Augmented Generation (RAG) pipelines, and integrating intelligent agent workflows into our core business processes.
The ideal candidate possesses a deep understanding of cloud infrastructure, a vast knowledge of modern AI/ML paradigms (particularly LLMs and agentic frameworks), and a proven track record of bringing AI-powered software products from research to production.
- Architect AI Agentic Systems: Lead the end-to-end architectural design of autonomous, multi-agent workflows and utility agents tailored to solve complex enterprise challenges and automate workflows.
- Cloud Infrastructure Design: Design, provision, and optimize scalable cloud infrastructure to support high-availability AI applications, ensuring secure and efficient deployment of models and agent logic.
- Product & Software Development: Actively participate in hands-on development, writing production-grade code to build and integrate AI/ML products within existing enterprise tech stacks and IT infrastructure.
- RAG & Search Optimization: Design and implement advanced custom RAG architectures and enterprise search solutions, actively identifying and mitigating challenges related to data ingestion, vector search
- optimization, and model hallucination.
Technical Leadership & Strategy: Define and champion AI-centric software development methodologies. Evaluate new AI frameworks, tools, and platforms to ensure the organization remains at the forefront of AI innovation.
- Cross-functional Collaboration: Partner closely with data scientists, software engineers, DevOps, and business stakeholders to seamlessly deploy AI agents into production environments while adhering to enterprise security and networking standards (e.g., firewall integration, internal network components).
- Programming Proficiency: Expert-level proficiency in Python, alongside experience with other modern programming languages (e.g., C#, Java). Building enterprise grade software solutions
- AI/ML Knowledge: Deep conceptual and practical understanding of generative AI, Large Language Models (LLMs), natural language processing (NLP), vector databases, and agentic orchestration frameworks.
- Cloud Infrastructure Expertise: Proven expertise in architecting and deploying applications on major cloud platforms (GCP preferred). Strong understanding of cloud-native architectures, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Hands-On Development Experience: 7+ years of overall software engineering experience, with a significant portion dedicated to building and deploying AI/ML products or complex software applications.
- Systems Design Mindset: Exceptional ability to design complex distributed systems, with a strong grasp of API design, microservices architecture, and enterprise security principles.
- Education: Bachelor’s/Master’s in computer science, engineering, or a related field (or equivalent experience).
- Hands-on experience with Google Cloud Platform (GCP) and Vertex AI components (e.g., Vertex Search, Agent Development Kit, custom model deployment).
- Experience navigating complex enterprise internal networks and IT processes (e.g., managing network connectivity, security protocols).
- Familiarity with scrum, agile development frameworks.
- Strong understanding of emerging AI-centric development methodologies and frameworks (e.g. SDD, BMAD etc.)
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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
Work Arrangement: Hybrid
Application Deadline: 06/22/2026
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, Mississauga
Bell, one of Canada's Top 100 Employers.
