Senior Engineer,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

Design, build, and deploy
core AI‑Native SDLC capabilities
, including:

Guidelines, standards and procedures CLI‑based developer tooling (e.g., Git Hub Copilot harnesses)

Develop
end‑to‑end 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 high‑quality production code (TypeScript/JavaScript or Python) and contribute directly to shared platforms and repos.

AI‑Native SDLC Framework Ownership

Define and own the
AI‑Native SDLC framework
, covering:

AI‑assisted 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, developer‑friendly, and grounded in real tooling
.

Policy, Standards & Governance

Define formal SDLC policies, engineering standards, and guidelines for AI‑enabled development. Establish guardrails for:

Secure and responsible use of LLMs and agents Data privacy, access control, and model interaction Traceability and auditability of AI‑generated 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 AI‑Native 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 Hands‑on support for early adopter teams

Define and implement
scorecard‑based 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 AI‑driven 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
hands‑on 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
. Hands‑on 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
TypeScript/JavaScript 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 strong 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
.

Nice‑to‑Have Qualifications

Working knowledge of
architecture design artifacts (C4 diagrams, ADRs). Experience implementing
scorecard-based reviews with measurable, traceable outputs
.

Experience with
container platforms (Docke…

Senior Engineer, AI Native SDLC