Senior Software Engineer – AI Systems & Tech Leadership

QuantumBlack, AI by McKinsey

Toronto

On-site

CAD 120,000 - 180,000

Full time

3 days ago
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Job summary

QuantumBlack, AI by McKinsey in Toronto delivers AI-enabled software solutions for clients across industries. You will own architecture, define the technical direction for your workstream, and ensure the team builds scalable, production-grade systems while hands-on across the stack.

You will mentor client and internal teams, promote secure, reliable architectures, and accelerate AI adoption through collaboration with cross-functional teams and executive stakeholders.

Qualifications

  • Undergraduate or Master’s degree; or equivalent experience.
  • 5+ years of experience developing full-stack applications.
  • Proficiency in multiple frontend/backend frameworks and languages including JavaScript/TypeScript, React, Angular, Next.js, Vue.js, Java, Spring, C#, or Node.js; SQL/NoSQL databases; cloud platforms (AWS/Azure/GCP); and CI/CD tooling.
  • Ability to design complex, secure APIs (REST/GraphQL) with scalability and maintainability.
  • Experience with IaC, CI/CD pipelines, and cloud-native architecture.
  • Advanced proficiency in AI-assisted engineering and managing AI-enabled systems.
  • Experience architecting AI systems with LLM evaluation, guardrails, and validation methodologies.
  • Security-first mindset including OAuth/OIDC authentication and secure development practices.
  • Experience leading cross-functional engineering teams and fostering engineering culture.
  • Exceptional time management in autonomous environments.
  • Strong English communication skills (verbal and written).

Responsibilities

  • Own architectural decisions and set technical direction for the workstream.
  • Design scalable, production-ready AI-enabled systems across the full stack.
  • Mentor client and internal teams to raise engineering craft.
  • Collaborate with designers, product managers, and industry experts to deliver software solutions.
  • Partner with clients from technical teams to C-suite executives to drive business value and AI adoption.

Skills

Full-stack dev
JavaScript/TypeScript
React
Angular
Next.js
Vue.js
Java
Spring
C#
Node.js
SQL/NoSQL
AWS/Azure/GCP
CI/CD tooling
API design
REST/GraphQL
IaC
Cloud-native
AI engineering
LLM evaluation
OAuth/OIDC
Security practices
Cross-functional leadership
Time management
English comms

Education

Undergraduate or Master’s degree or equivalent

Tools

Docker
Kubernetes
Jenkins

Job description

QuantumBlack, AI by McKinsey in Toronto delivers AI-enabled software solutions for clients across industries. You will own architecture, define the technical direction for your workstream, and ensure the team builds scalable, production-grade systems while hands-on across the stack.

You will mentor client and internal teams, promote secure, reliable architectures, and accelerate AI adoption through collaboration with cross-functional teams and executive stakeholders.

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