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Contract Logistics Inventory Manager
Kuehne+Nagel
Mississauga, ON
- $90,000 to $115,000 CAD / year
- Full-time
…equipment and space for the safe, high-quality and productive delivery of third-party logistics services to the…
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Events & Community Lead
Mecka.ai
Richmond Hill, ON
- $100,000 to $140,000 CAD / year
- Full-time
Run challenges and benchmarks built on our public sample data, with the research and delivery teams.
Added 30 mins ago
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SharePoint Developer / Transformation Lead
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Florenceville-Bristol, NB
- Full-time
…SharePoint-based solutions, implement customizations, and support delivery across the application…
Added 31 mins ago
Engineering Lead - AI Enablement
Scotiabank
Toronto, ON
The AI Enablement Lead will partner with Engineering, Architecture, Product, Data, Risk, Cybersecurity and Enterprise AI teams to move AI opportunities from discovery and experimentation…
Added 31 mins ago
Associate Product Manager
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Edmonton, AB
Lead the product journey. Communicate a vision, strategy, roadmap, and releases aligned to business outcomes. Drive the product lifecycle from ideation, problem validation, solution…
Added 31 mins ago
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Finance Director, Canada
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Toronto, ON · CAN-CORP Toronto-Toronto, Canada
- Full-time
Lead the preparation, management, consolidation, and delivery of the annual financial plan, reforecasts, and long-range planning efforts.
Added 46 mins ago
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Project Support Services - Suppliers
PTAG
Chalk River, ON
- Contract
Our mission is to help our clients achieve successful delivery and efficient operation of their capital projects.
Added 59 mins ago
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Engineering Lead - AI Enablement
Scotiabank
Toronto, ON
- Full-time
The AI Enablement Lead will partner with Engineering, Architecture, Product, Data, Risk, Cybersecurity and Enterprise AI teams to move AI opportunities from discovery and experimentation…
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Implementation Consultant Professional Services (AI Companies)
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Toronto, ON
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AI Project Manager / Product Owner – Enterprise AI, Microsoft Copilot, ChatGPT & Generative AI
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Project Manager / Product Owner (AI)
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Montreal, QC
- Full-time
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Controller, Family Office
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Where applicable, act as project lead for Family Office engagements to ensure timely and consistent delivery
Added 1 hour ago
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Senior Data Engineer
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
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Event Manager, Upper Bound
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Edmonton, AB
- Full-time
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Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, Canada
- Full-time
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Role Enablement Senior Manager
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Added 1 hour ago
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Digital Transformation & Change Management Senior Manager
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Toronto, ON
- Full-time
You will embed with programme delivery teams, translate the programme roadmap into a practical change journey and rollout plan, and work with technical and role enablement experts to land…
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Business Analyst V
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Toronto, ON
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Lead, analyze, document, and manage requirements with stakeholders by applying a variety of techniques to probe, elicit, challenge, understand, and gain consensus on requirements, including…
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Consultant, Product & Delivery - Sales & Risk Management Platforms
Deloitte
Toronto, ON
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Manager, Supplier Engagement (Askuity)
The Home Depot Canada
Toronto, ON
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In office 3 days per week (Tues/Wed/Thurs)
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Director of Engineering
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…organization. You'll set the engineering strategy and operating model, lead our team leads, and ensure predictable delivery of our product and platform…
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Technical Lead, Security Platforms (Contract)
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Sr. Associate Software Development Engineer, Mobile
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…can truly be yourself, your opinions are valued, and you can lead challenging and complex initiatives with fun and caring…
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DEVOPS ENGINEER
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Sr. Associate Software Development Engineer, Mobile
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Scotiabank

Engineering Lead - AI Enablement

Toronto, ON, M1L 4S2, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Apply by: Nov 28, 2026
Experience: 7+ years of progressive experience in software engineering, technology delivery, architecture, digital transformation, AI enablement or a related technology discipline.
Posting language: English
Posted: Nov 13, 2026

Original job description

Requisition ID: 279276

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

Scotiabank continues to be an industry leader for Payment’s technology and innovation. We have a history of safely leveraging new tools to enable new experiences for our customers, focusing on ensuring we protect their interests and goals. The result of this leads to modernization programs which aim to offer enriched information and transparencies to support the rapidly evolving payments community.

The Role

Contributes to the overall success of Global High Value Payments Technology by leading the adoption and enablement of Artificial Intelligence across the HVP technology portfolio.

The role will establish and drive the HVP AI Enablement strategy and roadmap, identifying and delivering opportunities that improve engineering productivity, software quality, automation, operational resiliency, knowledge management and delivery velocity.

The AI Enablement Lead will partner with Engineering, Architecture, Product, Data, Risk, Cybersecurity and Enterprise AI teams to move AI opportunities from discovery and experimentation into scalable solutions, while ensuring responsible and secure adoption.

What You’ll Do:

AI Strategy & Enablement

Develop and execute the HVP AI Enablement roadmap, aligned with Global High Value Payments and broader technology priorities.
Identify and prioritise high-value AI opportunities across software development, testing, requirements, production support, incident management and knowledge management.
Establish a practical process for AI use-case intake, assessment, prioritisation and delivery, considering value, feasibility, risk and reuse potential.
Maintain visibility of the HVP AI portfolio, including experiments, implementations, dependencies, risks, adoption and realised value.

AI Engineering & Delivery

Lead AI initiatives from discovery and proof of concept through implementation and adoption.
Drive effective use of approved AI capabilities such as GitHub Copilot, Microsoft 365 Copilot and enterprise Generative AI platforms.
Partner with Architecture and Engineering teams to explore and implement solutions using Generative AI, LLMs, RAG, AI agents and intelligent automation.
Promote reusable AI components, engineering patterns and accelerators across HVP labs.
Ensure solutions meet appropriate security, reliability, scalability and operational requirements.

Engineering Productivity & Automation

Identify opportunities to use AI to simplify and improve the end-to-end engineering lifecycle.
Accelerate test automation through AI-assisted test generation, maintenance, optimisation and execution.
Improve developer productivity through AI-assisted coding, analysis, documentation, troubleshooting and knowledge discovery.
Reduce dependency on specialised knowledge by making HVP technical knowledge more accessible through approved AI capabilities.
Drive reuse and standardisation of successful AI solutions across HVP.

Adoption & Capability Building

Establish and lead an HVP AI Community of Practice across Engineering, Architecture, QA, BA and other technology teams.
Develop practical AI playbooks, reusable patterns, templates and best practices.
Coach teams and AI champions on effective and responsible use of AI.
Promote knowledge sharing, experimentation and continuous learning across HVP.
Build AI capability and adoption into existing engineering practices and ways of working.

Governance & Leadership

Partner with Enterprise AI, Risk, Privacy, Cybersecurity, Architecture and Data teams to ensure responsible, secure and compliant AI adoption across HVP.
Establish measures for AI adoption and value, including productivity, automation, cycle-time improvement, reuse and operational efficiency.
Provide leadership visibility into the AI roadmap, outcomes, risks, dependencies and opportunities, using measurable results to continuously refine priorities.
Lead HVP teams and AI champions, promoting innovation, collaboration, reuse and continuous improvement while operating within the Bank’s risk appetite.
Provide people leadership, coaching and development, building strong technical capabilities and future leaders across HVP.

What You'll Bring:

7+ years of progressive experience in software engineering, technology delivery, architecture, digital transformation, AI enablement or a related technology discipline.
Experience leading complex technology initiatives across cross-functional teams.
Strong understanding of the software development lifecycle, Agile delivery and modern engineering practices.
Practical experience applying Generative AI or AI-assisted technologies to software engineering, testing, automation or technology operations.
Understanding of LLMs, Generative AI and emerging AI capabilities, with the ability to translate them into practical technology solutions.
Experience moving technology initiatives from discovery or proof of concept into implementation and adoption.
Strong stakeholder management and communication skills, with the ability to work across Engineering, Architecture, Business, Risk and other groups.
Strong continuous-improvement mindset with demonstrated ability to coach teams and drive adoption of new technology.
Post-secondary education in Computer Science, Engineering, Data Science, Information Systems or a related discipline.

Preferred Qualifications

Experience with GitHub Copilot, Microsoft 365 Copilot or enterprise Generative AI platforms.
Experience with LLMs, RAG, AI agents, multimodal AI or conversational AI.
Experience with Cloud AI/data platforms.
Experience with DevOps and modern engineering tooling.
Experience establishing AI Communities of Practice, enablement programmes or governance frameworks.
Experience defining and measuring productivity and operational benefits from AI.

What's in it for you?

You’ll join a team focused on building cloud platforms as products, enabling delivery teams across the enterprise rather than acting as a centralized gatekeeper or operating within a narrow delivery focus. This role offers exposure to a wide range of technologies, problem domains, and stakeholders.

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.
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. If you require technical assistance, please click here. 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.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

The Engineering Lead will drive the AI enablement strategy and roadmap across the High Value Payments technology portfolio. This role involves leading AI initiatives from discovery to implementation while partnering with cross-functional teams to improve engineering productivity and operational quality.

Requirements

Candidates must have 7+ years of experience in software engineering, technology delivery, or AI enablement. A post-secondary degree in Computer Science, Engineering, or a related discipline is required along with practical experience in Generative AI and modern engineering practices.

Skills

Software engineering
Artificial intelligence
Generative AI
LLMs
RAG
AI agents
Cloud platforms
DevOps
Stakeholder management
Agile delivery
Test automation
Technical leadership
Architecture
Data science
Cybersecurity
Operational resiliency

Benefits

Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one
Tuition assistance
Upskilling opportunities
Employee resource groups

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
LLMs
RAG
GitHub Copilot
Microsoft 365 Copilot
Software Engineering
Cloud Platforms
DevOps
Agile
Automation
Cybersecurity
Data Science
Architecture
Payments Technology
Operational Resiliency
Knowledge Management
Digital Transformation
AI Agents
Multimodal AI
Conversational AI
Engineering Productivity
Stakeholder Management
Technical Leadership
Governance
Risk Management
Privacy
Innovation
Continuous Improvement
Community of Practice

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Jobs in Canada