Director, Ai Native Sdlc (Toronto)

Director, Ai Native Sdlc (Toronto)

09 Aug
|
Scotiabank
|
Toronto

09 Aug

Scotiabank

Toronto

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.Title: Director, AI Native SDLCRequisition ID: 267632Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.The Director, AI Native SDLC is a hands on technical leader and enterprise capability owner responsible for defining, building, and scaling Scotiabank's AI Native Software Development Lifecycle (SDLC).This role combines deep engineering execution with strategic ownership of SDLC policies, standards, and frameworks, ensuring AI capabilities are embedded safely, consistently, and effectively across all stages of software delivery.As a Director, the incumbent will lead through implementation and influence, shaping enterprise-wide engineering practices by building production‐grade systems, while also establishing the governance, documentation, and rollout strategies required for sustained, large‐scale adoption across the Bank.Is this role right for you? In this role, you will:Directlydesign, build, and deploy core AI‐Native SDLC capabilities, including:Enterpriseguidelines, standards, and procedures embedded in toolingCLI‐based developer platforms (e.G., GitHub Copilot harnesses and extensions)Provide deep technical direction and contribution toMCP server design and integration, ensuring enterprise‐grade security (authentication, authorization, auditability).Oversee and contribute tosecure GitHub Actions implementations, enabling AI agents with controlled permissions and governed artifact handling.Define, own, and evolve theenterprise AI‐Native SDLC framework, covering:AI‐assisted requirements, architecture, development, testing, and operationsStandardizedIDE tooling, agent skills, and devContainer environmentsAI integration patterns acrossCI/CD pipelines and developer workflowsEnsure all frameworks arepractical, scalable, and grounded in real engineering implementations.Drive consistency across business lines throughreusable patterns, templates, and reference architectures.Policy, Standards & GovernanceEstablish and ownenterprise SDLC policies, engineering standards, and AI usage guidelines.Define enforceableguardrails for AI‐enabled development, including:Secure and responsible use of LLMs and agentsData privacy, access control, and model interaction boundariesTraceability, auditability, and explainability of AI‐generated outputsDevelop and maintain:Enterprise engineering standards documentationApproved AI patterns and reference architecturesSecure coding and review standards specific to AI workflowsPartner withRisk, Security, Compliance, and Architectureto embed regulatory and enterprise controls.Process Definition,



Documentation & RolloutLead creation ofenterprise‐grade SDLC documentation, including:Playbooks, engineering patterns, and implementation guidesReference architectures (C4 models, ADRs)Sample pipelines, templates, and reusable assetsDefine and executeenterprise rollout strategy, including:Phased adoption models across engineering teamsDeveloper enablement, training, and workshopsHands‐on support for priority and early adopter programsEstablishscorecard‐based governance modelsto measure:Adoption and complianceEngineering quality and risk reductionAI effectiveness and productivity impactDeveloper Experience & Platform EnablementShape and deliver amodern, AI‐enabled developer experience (DevEx)across the bank.Oversee development and packaging of reusable components:Agents and agent skill librariesSDKs and internal frameworksCLI tools and automationCI/CD templates and pipelinesDrive adoption ofstandardized development environments(e.G., devContainers, codified environments).Leadership, Influence & Continuous InnovationAct as atechnical thought leaderin AI‐driven 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 feedbackUsage metrics and KPIsRisk and compliance insightsDo 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 ofhands‐on 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 (GitHub Copilot preferred), including packaging for reuse.Experience designing or integrating MCP serverswith strong security and governance controls.Deep experience withGitHub 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 DevOps practices.Proven ability toinfluence senior stakeholders and drive enterprise‐wide adoption.Working knowledge ofarchitecture design artifacts(C4 diagrams, ADRs).Experience implementingscorecard‐based governance with measurable, traceable outcomes.Experience withcontainer platforms(Docker, Kubernetes).Hands‐on experience withdevContainersor 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.Location(s): Canada : Ontario : TorontoScotiabank 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. #J-18808-Ljbffr

📌 Director, Ai Native Sdlc (Toronto)
🏢 Scotiabank
📍 Toronto

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