Director,AI Native SDLC Job Toronto area,Ontario Canada,Software Development

Is this role right for you?

In this role, you will:

Hands‑On Engineering & Platform Build

Directly design, build, and deploy core AI‑Native SDLC capabilities, including:
Enterprise guidelines, standards, and procedures embedded in tooling CLI‑based developer platforms (e.g., Git Hub Copilot harnesses and extensions)

Lead development of end‑to‑end RAG systems (ingestion → retrieval → grounding → evaluation).

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

Oversee and contribute to secure Git Hub Actions implementations, enabling AI agents with controlled permissions and governed artifact handling.

Maintain hands-on coding involvement (TypeScript/JavaScript or Python) in critical platform components and reference implementations.

Enterprise AI‑Native SDLC Ownership

Define, own, and evolve the enterprise AI‑Native SDLC framework, covering: AI‑assisted requirements, architecture, development, testing, and operations Standardized IDE tooling, agent skills, and dev Container environments AI integration patterns across CI/CD pipelines and developer workflows

Ensure all frameworks are practical, scalable, and grounded in real engineering implementations.

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

Policy, Standards & Governance

Establish and own enterprise SDLC policies, engineering standards, and AI usage guidelines.

Define enforceable guardrails for AI‑enabled development, including:
Secure and responsible use of LLMs and agents Data privacy, access control, and model interaction boundaries Traceability, auditability, and explainability of AI‑generated 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 Architecture to embed regulatory and enterprise controls.

Process Definition, Documentation & Rollout

Lead creation of enterprise-grade SDLC documentation, including:
Playbooks, engineering patterns, and implementation guides Reference architectures (C4 models, ADRs) Sample pipelines, templates, and reusable assets

Define and execute enterprise rollout strategy, including:
Phased adoption models across engineering teams Developer enablement, training, and workshops Hands-on support for priority and early adopter programs

Establish scorecard-based governance models to measure:
Adoption and compliance Engineering quality and risk reduction AI effectiveness and productivity impact

Developer Experience & Platform Enablement

Shape and deliver a modern, AI‑enabled 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 of standardized development environments (e.g., dev Containers, codified environments).

Leadership, Influence & Continuous Innovation

Act as a technical thought leader in AI‑driven software engineering both internally and externally.

Influence senior engineering and business stakeholders on AI adoption strategy and execution.

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

Continuously evaluate and introduce emerging 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 of hands‑on software engineering experience, including senior technical leadership roles.

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

Hands-on experience integrating LLM APIs into real-world development workflows.

Experience building custom agents and agent skills for CLI-based harnesses (Git Hub Copilot preferred), including packaging for reuse.

Strong programming expertise…

Director, AI Native SDLC