AI platform enablement and technical documentation define this Toronto opportunity at Scotiabank, focused on generative AI and enterprise adoption.
As an AI Enablement Engineer, you will connect enterprise AI platforms with organizational workflows. You will create onboarding frameworks, explain capabilities, and guide safe usage. The work includes platform strategy, functional support, training, and adoption measurement.
Key Responsibilities:
- Design technical onboarding frameworks for enterprise AI platforms
- Produce usage guides, configuration references, and operating manuals
- Translate platform roadmaps into internal capability roadmaps
- Build prompt patterns, workflow templates, and reference examples
- Measure adoption, productivity impact, and value realization
Requirements:
- Bachelor's degree in Information Sciences or related field
- Five-plus years in technical enablement or systems analysis
- Experience with Azure, Databricks, and Google native environments
- Understanding of generative AI, LLMs, and AI copilots
- Strong technical documentation and stakeholder communication skills
Apply AI platform expertise, workflow analysis, and enablement skills to support measurable adoption at Scotiabank in Toronto.
AI Platform Enablement Engineer in Toronto employer: Scotiabank
Scotiabank is an exceptional employer that fosters a purpose-driven and inclusive culture, making it an ideal place for professionals seeking to excel in the financial services industry. With a strong focus on employee growth, you will have access to comprehensive training and development opportunities while working alongside senior leadership in a collaborative environment. Located in vibrant cities like Calgary and Vancouver, you will enjoy a dynamic work-life balance and the chance to make a meaningful impact on ultra-high net worth clients across Canada and internationally.
