Find work in Canada.

515,387 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
U
Human Resources Generalist
Univeris
Toronto, ON
- $65,000 to $80,000 CAD / year
- Full-time
Univeris, headquartered in Toronto, Canada, is a privately held company and is the leader in enterprise wealth management for the Canadian market. Founded in 1991, Univeris has over 75…
Added 11 mins ago
A
SAP FICO Consultant
Aptonet
Terrebonne, QC
- Full-time
Experience with complex SAP Finance transformations and system integration initiatives.
Added 11 mins ago
B
Senior Credit Officer
BMO
Montreal, QC · HO
- Full-time
Supports credit due diligence activities for bank acquisitions or integration.
Added 12 mins ago
H
CI/CD Specialist (Hands-On) / Dev Ops Enignner.
Hays
Toronto, ON
- Contract
Our client is seeking a hands-on CI/CD Specialist to build, maintain, and support continuous integration and delivery pipelines for enterprise applications.
Added 12 mins ago
D
Lead Python + AI
Digitive
Canada
- Contract
…reliability, graceful failure handling, and production-grade AI integration, we’d love to talk to…
Added 12 mins ago
C
Senior Customer Engineer, Digital Native - Vancouver BC
Cloudflare
BC · British Columbia, Canada
- Full-time
…gap between technical strategy and business value - guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle…
Added 12 mins ago
FI
Salesforce Revenue Cloud Architect
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Define integration strategies between Salesforce and enterprise platforms, including ERP, Finance, Billing, Tax, and Payment systems.
Added 12 mins ago
VS
Senior Data Architect/Modeller
vTech Solution Canada
Toronto, ON
- Contract
Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
Added 12 mins ago
GS
DevOps Engineer
Gala Solutions
Montreal, QC
- Contract
Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies.
Added 26 mins ago
Product Builder
Branch
Toronto, ON
…exceptional digital experiences that drive our growth across both enterprise and DTC…
Added 26 mins ago
UO
Program Director, Drone Transport Initiative
University of British Columbia
Vancouver, BC · UBCV | P. A. Woodward Instructional Resources Centre (IRC)
- $8,087.08 to $12,117.08 CAD / month
- Full-time
Added 26 mins ago
T
Full-Stack Architect
TD
Toronto, ON
- Full-time
…architecture, infrastructure environment architecture, technical integration architecture, data strategies and models, security and enterprise…
Added 26 mins ago
M
Technical Delivery Lead
McKesson
Mississauga, ON
- Full-time
…Managers, Vendor Operations Lead, Portfolio/Program Management, enterprise technology teams, and strategic delivery…
Added 26 mins ago
M
Workday Solutions Delivery Manager
McKesson
Mississauga, ON
- Full-time
Coordinate functional, technical, integration, security, testing, and vendor resources required for delivery.
Added 26 mins ago
M
HR Technology Solutions Manager
McKesson
Mississauga, ON
- Full-time
…HCM Architecture, Cybersecurity, other HCM Solution Managers, enterprise technology teams, and technology…
Added 26 mins ago
M
Sr. Manager, Workforce Readiness
McKesson
Mississauga, ON
- Full-time
Copilot Enablement & Adoption: Enterprise-wide adoption of Microsoft Copilot through learning journeys, communications, advocate networks, and measurement.
Added 26 mins ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…and transformation journey, successfully delivering complex, enterprise-scale ATM Payments projects involving multiple back-end systems. As a Sr. Consultant, Full Stack Developer you’ll…
Added 41 mins ago
SD
Technical Analyst
Symbiotic Digital
SK · Regina Central, Saskatchewan
- Contract
initiatives involving cloud-based data platforms and data integration
Added 41 mins ago
M
Salesforce Technical Lead - Financial Services Cloud
Maarut
Montréal-Est, QC · Montreal, Quebec
- Contract
Salesforce integration in complex business environments, API
Added 41 mins ago
TC
Java Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced Java Developer with strong expertise in enterprise application development, microservices architecture, API development, and distributed systems. The candidate…
Added 41 mins ago
MI
Data Architect/Modeller - Senior
Maarut Inc
Toronto, ON
- Contract
Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
Added 41 mins ago
A
ETL Lead Developer : Toronto, ON : FTE
AceStack
Toronto, ON
- Full-time
ETL and Data Warehousing: 10+ years of overall IT experience, with strong hands-on expertise in ETL development, enterprise data warehousing, and end-to-end data integration processes.
Added 41 mins ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Experience building and maintaining enterprise data pipelines and data integration solutions.
Added 56 mins ago
IR
Senior Quality Assurance Analyst - Remote/Hybrid (Canada)
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
…products for IT and HR professionals, a review website for enterprise software (SoftwareReviews), and a policy management application (myPolicies). We are also currently adding a range of…
Added 1 hour ago
Senior Transformation Director
D2L
Kitchener, ON · Toronto, ON
Define the target technology footprint for each redesign, including where AI, automation, and integration are applied, what existing systems and services are extended, retired or…

Envision Technology Solutions

AI Architect

Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Posting language: English
Posted: Oct 28, 2026

Original job description

As an AI Architect, you will bring deep expertise in Artificial Intelligence, Machine Learning, Generative AI, Coding Assistants, AI Assistants, and Agile software engineering practices. You will guide the full AI lifecycle from conceptualization and solution design to model development, testing, and successful deployment into production environments. The ideal candidate will have a proven architectural background, hands‑on experience with modern AI platforms, and a strong track record of delivering complex, enterprise‑grade intelligent systems. You will collaborate closely with cross-functional technology and business teams to shape the future of our AI ecosystem and accelerate innovation across the organization.

Must Have Skills:

Strong hands-on programming expertise in at least one modern language such as Python, C#, Java, or JavaScript, with the ability to guide engineering teams on best practices.
Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.
Advanced understanding of Generative AI architectures, including GANs, VAEs, transformer-based models, and experience applying these techniques to real-world enterprise use cases.
Practical experience using AI Coding Assistants
Hands-on expertise with Agentic AI platforms, including Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude, and other autonomous workflow systems.
Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.
Solid experience architecting solutions on major cloud platforms (AWS, Azure, GCP), including familiarity with cloud-native AI, data, and security services.
Proven ability to mentor, guide, and provide architectural direction to junior and mid-level AI/ML engineers across multiple projects.
Ability to conduct AI/ML and Generative AI code reviews, ensuring adherence to architectural standards, performance benchmarks, and responsible AI practices.
Strong analytical and problem‑solving skills, including the ability to rapidly diagnose and resolve complex issues in AI systems, ML pipelines, and application runtimes.
Excellent communication skills, capable of translating complex AI concepts for both technical teams and business stakeholders.
Experience defining enterprise AI architectures, reference models, reusable design patterns, and establishing organization-wide architectural standards.
Ability to define and implement AI governance frameworks, including Responsible AI guidelines, compliance controls, model guardrails, safety protocols, and risk-mitigation practices.

Responsibilities:

AI & Machine Learning Architecture

Architect, design, and guide the implementation of enterprise grade AI and ML solutions that solve complex business problems and power intelligent applications.
Lead collaboration with data scientists, ML engineers, platform engineers, and software teams to integrate AI capabilities into products, platforms, and enterprise workflows.
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Oversee end-to-end data preparation, feature engineering, vectorization, and model development, ensuring data quality and readiness for LLMs and Generative AI workloads.
Continuously evaluate emerging advancements in AI, ML, LLMs, Agentic Systems, and incorporate relevant innovations into architectural roadmaps and solution designs.
Optimize AI and Generative AI models for performance, latency, scalability, observability, and cost efficiency, leveraging cloud-native and distributed compute environments.
Conduct and drive technical design reviews, code reviews, and architecture assessments to ensure high standards of quality and engineering rigor.
Diagnose, troubleshoot, and resolve complex AI system issues to maintain the reliability, accuracy, and security of production AI applications.

Generative AI, Copilots & Coding Assistants

Design and architect enterprise-wide capabilities leveraging AI coding assistants, copilots, and developer productivity tools (e.g., GitHub Copilot, Azure AI Studio assistants).
Lead the development of extensions, plugins, and integrations for IDEs like Visual Studio Code, IntelliJ IDEA, and Eclipse to embed AI-driven developer workflows.
Apply deep understanding of prompt engineering, LLM behaviour, context-window optimization, fine‑tuning, and agentic workflows to enhance solution performance.
Design, train, and evaluate custom generative models, exploring architectures such as GANs, VAEs, diffusion models, and transformer-based architectures.
Architect pipelines for data acquisition, cleaning, text chunking, retrieval augmentation (RAG), and ingestion into vector stores.
Integrate enterprise solutions with AI platforms and APIs such as OpenAI, Azure OpenAI, LangChain, and other orchestration frameworks.
Design and maintain the LLM data layer using technologies like Azure Cosmos DB, Azure AI Search, vector stores, and embedding indexes.
Develop agentic automation solutions using frameworks such as LangChain, LlamaIndex, Semantic Kernel, and AutoGen, and integrate them with enterprise systems.
Apply strong DevOps practices using CI/CD pipelines, GitHub Actions, Azure DevOps, and modern testing frameworks to maintain robust and automated AI development workflows.
Contribute to or lead copilot initiatives across domains such as application development, customer support, operations, and productivity automation.

Prompt Engineering

Design, test, and refine high‑quality prompts, prompt templates, and generative AI interaction models tailored to organizational use cases.
Work closely with product, content, and data teams to align prompt behaviour with business outcomes, brand voice, and user experience requirements.
Continuously improve prompt structures to enhance accuracy, relevance, safety, and contextual understanding within AI/LLM systems.
Experiment with novel prompting strategies - chain-of-thought, retrieval-augmented prompts, tool-augmented prompts, system message optimization - to improve AI performance.
Build and maintain an enterprise prompt library, ensuring versioning, governance, reuse, and integration into automated workflows and applications.
Participate in fine-tuning and reinforcement learning processes by designing ground‑truth prompts, evaluation prompts, and tuning datasets.
Diagnose and refine prompts that yield suboptimal or incorrect results, ensuring predictable and aligned LLM behaviour across use cases.

Apply About employer

More about this job

Responsibilities

Architect and lead the development, integration, deployment, and optimization of enterprise AI, machine learning, and generative AI solutions. Guide AI coding assistant and agentic workflow initiatives, prompt engineering, technical reviews, and responsible AI practices across cross-functional teams.

Requirements

Requires strong programming expertise and hands-on experience with AI/ML frameworks, generative AI architectures, agentic platforms, and cloud and MLOps services. The role also calls for enterprise architecture experience, technical leadership and mentoring, AI governance expertise, and strong analytical and communication skills.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Python
TensorFlow
PyTorch
Keras
Large Language Models
Agentic AI
Cloud Architecture
MLOps
Prompt Engineering
Retrieval-Augmented Generation
AI Governance
CI/CD
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Python
C#
Java
JavaScript
TensorFlow
PyTorch
Keras
Hugging Face
LangChain
LlamaIndex
Semantic Kernel
AutoGen
AutoGPT
CrewAI
Microsoft Copilot Agents
GitHub Copilot
Azure AI Studio
OpenAI
Azure OpenAI
AWS SageMaker
Azure Machine Learning
Google AI Platform
MLOps
Prompt Engineering
Retrieval-Augmented Generation
Vector Stores
Responsible AI

Report this job