Engineering Lead - AI Enablement

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.