Is this role right for you? In this role, you will: Hands

On Engineering & Platform Build Directlydesign, build, and deploy core AINative SDLC capabilities, including: Enterpriseguidelines, standards, and procedures embedded in tooling CLIbased developer platforms (e.g., Git

Hub Copilot harnesses and extensions) Lead development ofendtoend RAG systems(ingestion retrieval grounding evaluation).

Provide deep technical direction and contribution toMCP server design and integration, ensuring enterprise-grade security (authentication, authorization, auditability).

Oversee and contribute tosecure Git

Hub Actions implementations, enabling AI agents with controlled permissions and governed artifact handling.

Maintainhands-on coding involvement(Type

Script/Java

Script or Python) in critical platform components and reference implementations.

Enterprise AINative SDLC Ownership Define, own, and evolve theenterprise AINative SDLC framework, covering: AIassisted requirements, architecture, development, testing, and operations StandardizedIDE tooling, agent skills, and dev

Container environments AI integration patterns acrossCI/CD pipelines and developer workflows Ensure all frameworks arepractical, scalable, and grounded in real engineering implementations.

Drive consistency across business lines throughreusable patterns, templates, and reference architectures.

Policy, Standards & Governance Establish and ownenterprise SDLC policies, engineering standards, and AI usage guidelines.

Define enforceableguardrails for AIenabled development, including: Secure and responsible use of LLMs and agents Data privacy, access control, and model interaction boundaries Traceability, auditability, and explainability of AIgenerated outputs Develop and maintain: Enterprise engineering standards documentation Approved AI patterns and reference architectures Secure coding and review standards specific to AI workflows Partner with

Risk, Security, Compliance, and Architectureto embed regulatory and enterprise controls.

Process Definition, Documentation & Rollout Lead creation ofenterprise-grade SDLC documentation, including: Playbooks, engineering patterns, and implementation guides Reference architectures (C4 models, ADRs) Sample pipelines, templates, and reusable assets Define and executeenterprise rollout strategy, including:



Phased adoption models across engineering teams Developer enablement, training, and workshops Hands-on support for priority and early adopter programs Establishscorecard-based governance modelsto measure: Adoption and compliance Engineering quality and risk reduction AI effectiveness and productivity impact Developer Experience & Platform Enablement Shape and deliver amodern, AIenabled developer experience (Dev

Ex)across the bank.

Oversee development and packaging of reusable components: Agents and agent skill libraries SDKs and internal frameworks CLI tools and automation CI/CD templates and pipelines Drive adoption ofstandardized development environments(e.g., dev

Containers, codified environments).

Leadership, Influence & Continuous Innovation Act as atechnical thought leaderin AIdriven software engineering both internally and externally.

Influence senior engineering and business stakeholders onAI adoption strategy and execution.

Mentor engineers, senior engineers, and technical leads throughhands-on engagement, code reviews, and architectural guidance.

Continuously evaluate and introduceemerging AI and engineering capabilities, refining the SDLC based on: Developer feedback Usage metrics and KPIs Risk and compliance insights Do you have the skills that will enable you to succeed in this role? We''d love to work with you if you have: 10+ years ofhandson software engineering experience, including senior technical leadership roles.

Proven successdefining and scaling SDLC frameworks, engineering standards, or developer platforms at enterprise level.

Hands-on experience integrating LLM APIsinto real-world development workflows.

Experience building custom agents and agent skillsfor CLI-based harnesses (Git

Hub Copilot preferred), including packaging for reuse.

Strong programming expertise in

Type

Script/Java

Script or Python; shell scripting is a strong asset.

Experience building RAG systems end-to-end(ingestion retrieval grounding evaluation).





Experience designing or integrating MCP serverswith strong security and governance controls.

Deep experience with

GitHub Actions and CI/CD, including secure execution of AI agents.

Demonstrated experiencedefining policies, standards, and governance frameworkswithin engineering organizations.

Strong understanding ofcloud platforms (Azure preferred), APIs, distributed systems, and Dev

Ops practices.

Proven ability toinfluence senior stakeholders and drive enterprise-wide adoption.

Niceto

Have Qualifications Working knowledge ofarchitecture design artifacts(C4 diagrams, ADRs).

Experience implementingscorecard-based governance with measurable, traceable outcomes.

Experience withcontainer platforms(Docker, Kubernetes).

Hands-on experience withdev

Containersor reproducible development environments.

Experience building or contributing todeveloper platforms or internal engineering ecosystems.

Experience infinancial services or highly regulated environments.

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 setting 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.

📌 Director, AI Native SDLC (Toronto)
🏢 Scotiabank
📍 Toronto