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 productionPartner with business teams to define technical solutionsIntegrate AI agents with enterprise systems and platformsDeliver multi-agent workflows and Model Context Protocol serversMentor paired early-career engineers during engagementsRequirements:

Hands-on GenAI or agent experience preferred for two to three yearsProduction experience taking agentic systems beyond prototypesExperience with structured and unstructured data pipelinesKnowledge of vector databases and retrieval-augmented architecturesCurrent knowledge of LLM and agent toolingApply production GenAI, cloud, data pipeline, and enterprise integration expertise to Bell’s measurable AI delivery work.

📌 Senior Generative Ai Solutions Engineer (Winnipeg)
🏢 Bell
📍 Winnipeg