AI Enablement Engineer

Scotiabank; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Scotiabank in Dallas is seeking an AI Enablement Engineer to bridge enterprise AI platforms with business teams, ensuring adoption, safety, and measurable value.

You will craft enablement artifacts, run onboarding, and translate platform capabilities into practical usage patterns for engineers and analysts.

Requirements: 5–7 years in technical enablement, experience with Azure, Databricks, and Google Cloud, plus strong communication; Spanish is a plus.

Qualifications

• 5–7 years in technical enablement or platform enablement roles.
• Experience with Azure, Databricks, and Google Cloud environments.
• Excellent written and verbal communication for technical docs and stakeholders.
• Bachelor’s degree in Information Sciences or CIS; Spanish a plus.

Responsibilities

• Design and execute onboarding frameworks for enterprise AI platforms.
• Create enablement artifacts: guides, references, manuals, and templates.
• Partner with teams to integrate AI capabilities into workflows and models.
• Translate capabilities into practical usage patterns for teams.
• Lead discovery sessions to capture technical and business requirements.
• Define and monitor AI adoption metrics and impact.

Skills

Technical enablement

Platform enablement

Stakeholder communication

User-centric mindset

Adoption analytics

Education

Bachelor’s degree in Information Sciences / CIS

Tools

Azure

Databricks

Google Cloud

LLMs

Job description

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Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Requisition ID: 269927

Salary Range:-

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

As an 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.

What You'll Do

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.

• 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.

• 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.

• 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.
• 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.

What You'll Bring

• 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.
• 5-7 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).

Interested?
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.

What's in it for you?
Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.
#Dallas

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. 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.

Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth
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