Turn GenAI prototypes into measurable production outcomes with Bell’s Applied AI team in hybrid Toronto, Mississauga, or Montreal. Use agents, cloud platforms, and Python.
As a Senior Generative AI Solutions Engineer, you will own engagements from problem definition through production-grade delivery. You will choose among rules, automation, classical ML, and GenAI agents, integrating solutions with systems including Google Cloud, Amazon Bedrock, Salesforce, and ServiceNow. The work supports Bell’s enterprise transformation.
Key Responsibilities: Own forward-deployed engagements from scoping through production
Partner with business teams to define technical solutions
Integrate AI agents with enterprise systems and platforms




Deliver multi-agent workflows and Model Context Protocol servers
Mentor paired early-career engineers during engagements
Requirements: Hands-on GenAI or agent experience preferred for two to three years
Production experience taking agentic systems beyond prototypes
Experience with structured and unstructured data pipelines
Knowledge of vector databases and retrieval-augmented architectures
Current knowledge of LLM and agent tooling
Apply production GenAI, cloud, data pipeline, and enterprise integration expertise to Bell’s measurable AI delivery work.

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📌 Senior Generative AI Solutions Engineer (Ontario)
🏢 Bell
📍 Ontario