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

On Engineering & Platform Build Design, build, and deploy core AINative SDLC capabilities , including: Guidelines, standards and procedures CLIbased developer tooling (e.g., Git

Hub Copilot harnesses) Develop endtoend RAG systems (ingestion retrieval grounding evaluation).

Knowledge and technical knowledge of MCP servers with enterprise-grade security (authentication, authorization, auditability).

Build and maintain secure Git

Hub Actions workflows to run AI agents with controlled permissions and artifact handling.

Write highquality production code (Type

Script/Java

Script or Python) and contribute directly to shared platforms and repos. AINative SDLC Framework Ownership Define and own the AINative SDLC framework , covering: AIassisted requirements, design, coding, testing, and operations DefiningIDEs/Skills and Dev

Containers Integration patterns for AI across CI/CD pipelines Translate strategy into working reference implementations and reusable templates .

Ensure the SDLC is practical, developerfriendly, and grounded in real tooling .

Policy, Standards & Governance Define formal SDLC policies, engineering standards, and guidelines for AIenabled development.

Establish guardrails for: Secure and responsible use of LLMs and agents Data privacy, access control, and model interaction Traceability and auditability of AIgenerated outputs Develop and maintain: Engineering standards documentation AI usage guidelines and approved patterns Secure coding and review standards specific to AI workflows Partner with Risk, Security, and Compliance to ensure alignment with enterprise and regulatory requirements .

Process Documentation & Enterprise Rollout Create clear, consumable documentation for the AINative SDLC, including: Playbooks, patterns, and implementation guides Reference architectures (C4 models, ADRs) Sample pipelines, templates, and reusable assets Lead enterprise rollout and adoption , including:



Developer enablement sessions and workshops Contribution to internal portals and knowledge bases Handson support for early adopter teams Define and implement scorecardbased assessments to track adoption, compliance, and effectiveness with traceable evidence.

Developer Experience & Enablement Build tooling and frameworks that improve developer productivity and experience (Dev

Ex) .

Package reusable components: Agents SDKs CLI tools CI/CD templates Enable standardized environments using dev

Containers or codified dev environments .

Continuous Improvement & Innovation Evaluate and prototype emerging AI/engineering technologies.

Continuously refine SDLC frameworks based on: Developer feedback Usage metrics Risk assessments Act as a technical thought leader in AIdriven software engineering.

Do you have the skills that will enable you to succeed in this role? We''d love to work with you if you have: 7+ years of handson software engineering experience , with a strong emphasis on building and delivering systems.

Demonstrated experience defining or implementing SDLC frameworks, standards, or engineering practices at scale .

Handson experience integrating with LLM APIs in production use cases.

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

Hub Copilot preferred), including packaging for reuse.

Strong coding 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 servers with robust security and governance controls.

Hands-on experience with Git

Hub Actions , including secure execution of AI agents within workflows.

Experience defining or contributing to engineering policies, standards, or governance frameworks .





Solid understanding of cloud (Azure preferred), APIs, distributed systems, and Dev

Ops practices .

Strong ability to document frameworks and drive adoption across engineering teams .

Niceto

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

Experience implementing scorecard-based reviews with measurable, traceable outputs .

Experience with container platforms (Docker, Kubernetes).

Hands-on use of dev

Containers or similar reproducible development environments.

Experience contributing to developer platforms or internal engineering ecosystems .

Experience in financial services or 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 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.

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.

📌 Senior Engineer, AI Native SDLC (Toronto)
🏢 Scotiabank
📍 Toronto