Requisition ID: 260666
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As an Senior AI Enablement Engineer, you will act as the technical enablement and functional interface between enterprise Artificial Intelligence platforms and the organization. You will be responsible for enabling scalable adoption, effective usage, and measurable value realization of generative AI, LLM-powered services, and intelligent productivity platforms across the enterprise.
This role is highly technical in orientation but not development focused. Your mandate is to ensure that AI platforms are understood, operationalized, and embedded into business workflows through structured enablement, technical documentation, and functional guidance. You will translate platform capabilities into practical usage patterns, ensuring teams can safely and effectively leverage AI tools as they mature.
Is this role right for you? In this role, you will:
Platform Enablement & User Onboarding
- Design and execute technical onboarding frameworks for enterprise AI platforms, including capability overviews, access models, guardrails, and supported use patterns.
- Produce technical enablement artifacts such as system usage guides, configuration references, operating manuals, and structured platform documentation.
- Partner with technology, architecture, data, and business teams to integrate AI capabilities into existing workflows and operating models.
- Analyze end-to-end workflows and identify opportunities where AI-driven automation or augmentation can improve efficiency and consistency.
- Lead structured discovery and intake sessions to capture technical and business requirements for AI-enabled workflows.
Capability Roadmap & Platform Strategy
- Track and assess the evolving capabilities of enterprise AI platforms, including generative AI services, copilots, and intelligent productivity tools.
- Translate vendor and platform roadmaps into internal capability roadmaps, clearly outlining what is available, what is coming, and how it should be used.
- Evaluate new features for technical readiness, risk alignment, and business applicability, and communicate implications to stakeholders.
- Act as a functional advisor to platform and engineering teams during feature rollouts and upgrades.
Technical Training & Knowledge Enablement
- Build and maintain best-practice repositories, including prompt engineering patterns, usage standards, workflow templates, and reference examples.
- Establish and manage a distributed AI Champions network to support advanced usage, experimentation, and peer enablement.
- Support platform delivery teams by ensuring users are technically prepared to adopt new capabilities through guided usage and structured learning paths.
- Enable smooth transition from platform implementation to steady-state usage through targeted enablement and adoption support.
Functional Support & Continuous Improvement
- Serve as the primary functional and enablement point of contact for AI platform usage questions, workflow troubleshooting, and best-practice guidance.
- Triage functional issues, usability gaps, and platform defects, escalating appropriately to engineering, architecture, or IT teams.
- Collect, synthesize, and prioritize user feedback to inform future platform enhancements, roadmap decisions, and enablement strategies.
- Perform functional validation and user acceptance testing to ensure AI solutions meet business and usability requirements.
- Continuously refine enablement materials and workflows based on real-world usage and post-rollout feedback.
Value Realization, Adoption & Metrics
- Define and monitor AI adoption and usage metrics, including activation, engagement, satisfaction, and feature utilization.
- Measure productivity impact, efficiency gains, and value realization through surveys, interviews, and usage data.
- Document and communicate internal success stories, proven patterns, and repeatable use cases to drive broader adoption.
- Produce enablement and adoption reporting that demonstrates business impact and informs leadership decision-making.
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
- Demonstrated experience in technical enablement, platform adoption, systems analysis, or digital transformation roles.
- Experience working in Azure, Databricks and Google native services and environments
- Strong conceptual understanding of Generative AI, Large Language Models (LLMs), AI copilots, and enterprise productivity platforms.
- Ability to interpret complex platform capabilities and translate them into clear operational guidance and usage standards.
- Excellent written and verbal communication skills, particularly for technical documentation and stakeholder presentations.
- Strong user-centric mindset with the ability to anticipate adoption challenges and design practical solutions.
- Experience defining metrics, analyzing adoption data, and producing insights reports.
- 8–12 years of experience in a role such as Technical Systems Analyst, Platform Enablement Lead, or Technical Product Owner
- Bachelor’s degree in, Information Sciences, Computer Information Systems, or a related field.
- Spanish fluency (nice to have).
What's in it for you?
- Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
- Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
- Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
- Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
- Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
