Find work in Canada.

546,874 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 18 mins ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then…
Added 1 hour ago
A
Scientifique De Données
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Construire des modèles prédictifs en Python en utilisant des techniques de régression, de classification et de prévision de séries temporelles.
Added 1 hour ago
A
Data Scientist
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Construire des modèles prédictifs en Python en utilisant des techniques de régression, de classification et de prévision de séries temporelles.
Added 1 hour ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 hour ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 1 hour ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Our innovative work has been recognized with several industry awards, including:
Added 1 hour ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Our innovative work has been recognized with several industry awards, including:
Added 2 hours ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 2 hours ago
H
Cloud Architect
Hays
Toronto, ON
- Contract
…secure, scalable, resilient, and cost-effective AI architectures, with a focus on Microsoft Foundry, Azure OpenAI, Generative AI, RAG, Agentic AI, Azure AI Search, and enterprise data…
Added 3 hours ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 3 hours ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
…performance. You will combine deep hands-on Databricks expertise with a FinOps and DevOps mindset, and you will measure your success in platform reliability, developer productivity, and…
Added 4 hours ago
Applied Scientist, ITA-Global Hiring Science
Amazon
Vancouver, BC
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and…
Added 4 hours ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Strong Python programming with PowerShell/Bash experience.
Added 4 hours ago
T
Machine Learning Engineer II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 4 hours ago
AM
Machine Learning Resident - Client: Ultimarii (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client Ultimarii afterwards (note: at the discretion of the client). The…
Added 6 hours ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
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.
Added 6 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 7 hours ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.
Added 7 hours ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
…N2P Systems, you will put 10+ years of hands-on experience with AWS, AWS Data Services and Snowflake to work on mission-critical enterprise systems. This is an existing full-time, hybrid…
Added 8 hours ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…loss through infrared imaging replaces generic assumptions with precise, measured data: actual R-values, quantified energy loss, and data-driven retrofit plans with exact payback…
Added 9 hours ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 9 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $94 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 9 hours ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 12 hours ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 13 hours ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs

Derex Technologies Inc

AI Architect

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 30, 2026

Original job description

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

About the job

We are seeking a visionary and highly experienced AI Architect to lead the design and delivery of next‑generation intelligent solutions across our enterprise. This role is central to our digital transformation strategy and will focus on architecting robust, scalable, and secure AI-driven platforms and capabilities.

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.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply About employer

More about this job

Responsibilities

The AI Architect will design and lead the implementation of enterprise-grade AI and machine learning solutions to solve complex business problems. They will collaborate with cross-functional teams to integrate AI capabilities into products and workflows while ensuring performance, scalability, and security.

Requirements

Candidates must have extensive hands-on experience in AI/ML frameworks, cloud platforms, and modern programming languages like Python. A proven track record in architecting complex intelligent systems and providing technical leadership is essential for this role.

Skills

Python
TensorFlow
PyTorch
Generative AI
Machine Learning
Cloud Architecture
MLOps
Agentic AI
Prompt Engineering
LLM
LangChain
Azure
AWS
Data Engineering
Software Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
Artificial Intelligence
Machine Learning
Generative AI
Python
TensorFlow
PyTorch
Keras
AWS SageMaker
Azure Machine Learning
Google AI Platform
MLOps
LLM
LangChain
Agentic AI
Prompt Engineering
RAG
Vector Stores
CI/CD
GitHub Copilot
Azure OpenAI
Distributed Computing
Data Engineering
Software Engineering
Enterprise Architecture
Governance
Agile
Cloud-native
System Integration
Technical Leadership

Report this job