25 meilleures offres (principal engineer, virtual workspace engineering, toronto, on) (à pourvoir)

Azure AI Engineer (AI-First Solutions)
Duka Intelligence Inc. —Mississauga, ON
- À partir de 110 000 $ par an
- Temps plein
- Azure
- DevOps
- SQL
- Assurance Dentaire
Postuler rapidement
6 h
Principal Associate, Software Engineer - International Card Tech - Mobile
Capital One - CA —Toronto, ON
- Temps plein
- Travail hybride
- Informatique
- Ingénierie
- Maîtrise
Principal Engineer, Virtual Workspace Engineering
Scotiabank —Toronto, ON
- Télétravail
- Azure
- Informatique
- Ingénierie
- Bourses d'Études
Application Engineer, Principal
Qualcomm —Toronto, ON
- Doctorat
- Ingénierie
- Maîtrise
Principal AI Engineer
Gorgias —Toronto, ON
- De 306 157 $ à 383 745 $ par an
- Temps plein
- CAD
- Diplôme universitaire non requis
- APIs
- Congés payés
- Congé de maladie payé
Principal Product Designer, Retail
Lightspeed Commerce, Inc. —Toronto, ON
- De 200 000 $ à 240 000 $ par an
- Temps plein
- Télétravail
- Intelligence artificielle
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
il y a 4 jours
Principal Software Engineer, Security
Coalition, Inc. —Toronto, ON
- De 183 000 $ à 233 000 $ par an
- Télétravail
- APIs
- Compétences en communication
- Assurance Dentaire
- Congés payés
Postuler rapidement
Principal Engineer, Autonomy
AeroVect —Toronto, ON
- De 300 000 $ à 350 000 $ par an
- Temps plein
- Télétravail
- C++
- Python
Principal Software Engineer
Okta —Toronto, ON
- De 216 000 $ à 297 000 $ par an
- Travail hybride
- CAD
- Conduite de véhicule
- Développement logiciel
- Assurance Dentaire
- Congés payés
Director of IT Security (Remote Canada)
Directive —Toronto, ON
- De 165 000 $ à 200 000 $ par an
- Temps plein
- Télétravail
- Affaires
- Compétences en communication
- Jours fériés payés
- Assurance Invalidité
il y a 14 jours
Staff Security Engineer, Application Security
Homebase —Toronto, ON
- De 205 000 $ à 240 000 $ par an
- Temps plein
- Travail hybride
- AWS
- Intelligence artificielle
- Python
- Jours fériés payés
- Assurance Invalidité
Principal Software Engineer
Passage —Toronto, ON
- À partir de 200 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Conception de systèmes
Staff Engineer
Sun Life —Toronto, ON
- De 125 000 $ à 195 000 $ par an
- Temps plein
- Salesforce
- Java
- JavaScript
il y a 4 jours
IT Operations Principal Engineer
InvestorCOM —Toronto, ON
- De 125 000 $ à 150 000 $ par an
- Temps plein
- Télétravail
- Azure
- Expérience en gestion
- DevOps
Postuler rapidement
il y a 5 jours
Senior Manager, Data Engineering
Scribd, Inc. —Toronto, ON
- De 154 500 $ à 265 000 $ par an
- Temps plein
- SQL
- Intelligence artificielle
- Affaires
- Assurance Invalidité
- Assurance Dentaire
il y a 12 jours
Principal Software Engineer
Owl.co —Toronto, ON
- De 220 000 $ à 300 000 $ par an
- Azure
- Informatique
- Maîtrise
- Assurance Dentaire
- Congés payés
Postuler rapidement
Project Engineering Management, Principal Engineer
Synopsys —Mississauga, ON
- De 138 000 $ à 206 000 $ par an
- Ingénierie
- Gestion de projet
- Linux
il y a 11 jours
Principal Hardware Engineer
Synex Medical —Toronto, ON
- De 215 000 $ à 235 000 $ par an
- Temps plein
- Travail hybride
- Déplacements à prévoir
- Python
- Jours fériés payés
- Assurance Dentaire
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Principal Front End Engineer
Questrade Financial Group —Toronto, ON
- De 130 000 $ à 170 000 $ par an
- Temps plein
- Travail hybride
- Conception de systèmes
- Esprit d'analyse
- JavaScript
Postuler rapidement
Project Engineering Management, Principal Engineer - 16083
Synopsys —Markham, ON
- De 138 000 $ à 206 000 $ par an
- Ingénierie
- Linux
- Leadership
Principal Product Engineer
Cadence Design Systems —Toronto, ON
- De 109 200 $ à 202 800 $ par an
- Temps plein
- Informatique
- Conception de systèmes
- Expérience en laboratoire
- Plan d'actionnariat des employés
- Jours fériés payés
Principal Engineer (AI)
Resolver —Toronto, ON
- De 180 000 $ à 210 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Ingénierie
- Bases de données
- Assurance Dentaire
Principal Geomechanics Engineer
ITASCA North America —Toronto, ON
- De 180 000 $ à 230 000 $ par an
- Temps plein
- Travail hybride
- Ingénierie
- Développement commercial
- Diplôme universitaire non requis
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Senior Engineering Manager
commonsku —Toronto, ON
- De 185 000 $ à 200 000 $ par an
- Télétravail
- DevOps
- Conception de systèmes
- Agile
- Assurance Dentaire

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : principal engineer, virtual workspace engineering (toronto, on)

En vous connectant à votre compte, vous acceptez les conditions d'utilisation, la politique relative aux fichiers témoins et la politique de confidentialité de Workopolis.

Azure AI Engineer (AI-First Solutions)

Duka Intelligence Inc.
Mississauga, ON

Postuler rapidement

Détails du poste

Permanent | Temps plein
Il y a 6 heures

Avantages

Assurance Dentaire
Stationnement sur place

Compétences

Azure
DevOps
Rapports financiers
Achitecture d'entreprise
SQL
Esprit d'analyse
Apprentissage automatique
SharePoint
GitHub
APIs
Métadonnée
Logiciel-service
Intelligence artificielle
Python

Description complète du poste

Duka Intelligence Inc. is currently seeking a Azure AI Engineer (AI‑First Solutions)

Company Overview

Duka Intelligence Inc. (“Company”) is a growing digital advertising and technology company focused on connecting local businesses with residential condominium communities through innovative in-building digital advertising platforms.

Our mission is to help businesses increase local visibility while delivering modern communication and advertising solutions within condominium environments. Through strategic partnerships, technology-driven platforms, and community-focused marketing initiatives, we aim to create meaningful connections between businesses and residents across the Greater Toronto Area.

Position Summary

The Azure AI Engineer is responsible for designing, developing, and implementing AI‑First solutions using Microsoft ecosystem and Azure cloud platform. This includes multi‑agent workflows, retrieval‑augmented generation (RAG) pipelines, AI copilots, and intelligent automation supporting Property Management operations.

This role requires strong Azure AI engineering capabilities combined with solid Azure AI Data foundations to support early proof‑of‑concept (POC) development. The engineer will work under the architectural direction of the Principal Solutions Architect and contribute to establishing the initial AI platform, patterns, and data structures.

Key Responsibilities

AI‑First Solution Development

· Develop AI‑First solutions using Azure AI Foundry, Azure OpenAI, Semantic Kernel, and Azure Functions.

· Implement multi‑agent workflows, RAG pipelines, AI copilots, and intelligent automation.

· Build domain‑specific AI capabilities for maintenance, finance, compliance, and tenant services.

· Integrate AI solutions with Microsoft ecosystem components (Dynamics 365, Power Automate, SharePoint, Teams) and other enterprise and external software products.

Azure AI Data Foundations

· Build and maintain early-stage data ingestion pipelines using Azure Data Factory, Synapse, or Fabric Dataflows.

· Prepare structured and unstructured data for AI workloads (chunking, metadata, embeddings, normalization).

· Create and manage Azure AI Search indexes and vector stores.

· Implement initial data governance practices (Purview, lineage, metadata standards).

Collaboration & Architecture Alignment

· Work closely with the Principal Solutions Architect to ensure all solutions align with enterprise architecture, security, and compliance requirements.

· Participate in design reviews, solution planning, and architectural discussions.

· Provide engineering feedback to support refinement of AI‑First patterns and platform components.

Deployment & Operationalization

· Deploy AI workloads using Azure ML, Azure DevOps, and GitHub Actions.

· Implement monitoring, evaluation, and performance tracking for AI systems.

· Establish early CI/CD patterns for AI solution delivery.

Required Qualifications

Education & Experience

· 3–5 years of experience in AI engineering, applied machine learning, or cloud engineering.

· Experience delivering AI solutions within the Microsoft Azure ecosystem.

Technical Skills

· Proficiency with:

-Azure AI Foundry

-Azure OpenAI (GPT‑4o, GPT‑4.1, o‑series models)

-Azure AI Search (vector and hybrid search)

-Azure Functions, Container Apps, App Services

-Azure ML (pipelines, registries, monitoring)

-Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Data Foundations

· Experience with Azure Data Factory, Synapse, or Fabric.

· Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.

· Strong SQL skills and understanding of schema design.

· Familiarity with data governance tools (Purview).

Soft Skills

· Strong analytical and problem‑solving abilities.

· Ability to work independently as the first AI engineering resource.

· Effective communication with technical and non‑technical stakeholders.

· High level of ownership and accountability.

Preferred Qualifications

Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI‑102, DP‑100, AZ‑204, AZ‑900).

Success Indicators

Delivery of end‑to‑end POCs using both AI engineering and data foundations.
Establishment of scalable data patterns for future AI roles.
Implementation of AI‑First solutions that improve operational efficiency.
Consistent alignment with architectural direction and enterprise standards.

Application Process:

Applicants are invited to submit a résumé and cover letter outlining how their skills, experience, and qualifications align with the requirements of the position.

Compensation for this position is determined based on skills, experience, and qualifications and falls within the posted range.

This posting represents a current vacancy. Interviews may begin as early as suitable candidates are identified.

Our organization is committed to fostering an inclusive and diverse workplace and encourages applications from all qualified individuals. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available throughout the recruitment and selection process. Applicants requiring accommodation may contact Human Resources at any stage of the process.

Please note that elements of the recruitment process may involve the use of automated or artificial intelligence–based tools to support candidate screening or evaluation. All hiring decisions are subject to review by qualified personnel.

Applicants who are interviewed will be notified of the outcome of the recruitment process within a reasonable timeframe following the final interview, in accordance with the Employment Standards Act, 2000.

Interviews will begin as early as suitable candidates are identified. We thank all applicants in advance for their interest; however, only those invited to an interview will be contacted.

Pay: From $110,000.00 per year

Benefits:

Dental care
On-site parking

Application question(s):

How many years of experience in AI engineering, applied machine learning, or cloud engineering do you have?
Do you have experience delivering AI solutions within the Microsoft Azure ecosystem?
Do you have proficiency with:

o Azure AI Foundry
o Azure OpenAI (GPT 4o, GPT 4.1, o series models)
o Azure AI Search (vector and hybrid search)
o Azure Functions, Container Apps, App Services
o Azure ML (pipelines, registries, monitoring)
o Python (FastAPI, Pydantic, Semantic Kernel or LangChain patterns)

Do you have experience with Azure Data Factory, Synapse, or Fabric.
Ability to build ingestion pipelines for files, APIs, SQL, and SaaS systems.
Strong SQL skills and understanding of schema design.
Familiarity with data governance tools (Purview).

Do you have:
Experience with different Property Management systems.
Knowledge of leasing, maintenance, tenant communication, and financial reporting workflows.
Microsoft certifications (AI 102, DP 100, AZ 204, AZ 900).

Work Location: In person

Postuler rapidement

Affinez votre recherche

principal engineer, virtual workspace engineering emplois - toronto, on

Azure AI Engineer (AI-First Solutions)

Principal Associate, Software Engineer - International Card Tech - Mobile

Principal Engineer, Virtual Workspace Engineering

Application Engineer, Principal

Principal AI Engineer

Principal Product Designer, Retail

Principal Software Engineer, Security

Principal Engineer, Autonomy

Principal Software Engineer

Director of IT Security (Remote Canada)

Staff Security Engineer, Application Security

Principal Software Engineer

Staff Engineer

IT Operations Principal Engineer

Senior Manager, Data Engineering

Principal Software Engineer

Project Engineering Management, Principal Engineer

Principal Hardware Engineer

Principal Data Engineer

Principal Front End Engineer

Project Engineering Management, Principal Engineer - 16083

Principal Product Engineer

Principal Engineer (AI)

Principal Geomechanics Engineer

Senior Engineering Manager

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : principal engineer, virtual workspace engineering (toronto, on)

Related Searches

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact