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Added 8 mins ago
7
Senior Performance Marketing Manager
7shifts
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
Test and scale new channels, reallocating investment toward what drives results.
Added 8 mins ago
L
QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
This is a role where you write code, not test documents. Your output is the automation framework, the regression suite that runs on every build, and the device and protocol simulators that…
Added 8 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Partner with Technology, QA, Analytics, Media, and Project Management teams to align requirements with test plans, data tracking, KPIs, and delivery timelines.
Added 23 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Partner with Technology, QA, Analytics, Media, and Project Management teams to align requirements with test plans, data tracking, KPIs, and delivery timelines.
Added 23 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 23 mins ago
B
Associate Software Engineer
BlackLine
Toronto, ON
- Full-time
…innovation into our product suite. In this role, you will research, test, benchmark and evaluate new technologies, collaborate with other teams to define and build new features, optimize…
Added 23 mins ago
G
Testeur(euse) logiciel / Software Tester - Appliances Platform (Edge OS)
Genetec
Montreal, QC
- Full-time
Experience with scripting or programming languages for test automation (PowerShell, Bash, C#, etc.)
Added 38 mins ago
T
IT Operations Analyst II-Host Operations
TD
Toronto, ON
- Full-time
…are presented through a variety of monitoring tools: System Automation, IBM personal communications, ServiceNow, Omegamon, Automated Workflow, Control-M, SharePoint, TotalView, and…
Added 53 mins ago
RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
Automation Engineering: Develop and maintain automated test scripts leveraging Core Java, Selenium, Cucumber (BDD), and TestNG.
Added 53 mins ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
Added 53 mins ago
C
Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
Identify technical prerequisites (e.g., test coverage gaps, build tool upgrades, compiler/runtime updates) needed before a team can successfully patch and release.
Added 53 mins ago
C
Senior Manager, Lifecycle Management & Reliability
Ciena
Ottawa, ON
- Full-time
Familiarity with power architectures, analog circuitry, hardware monitoring systems, and manufacturing-test methodologies.
Added 53 mins ago
FM
Manufacturing Technical Analyst
Ford Motor Company
Oakville, ON
- Full-time
3+ years' experience in one or more of the following automotive systems: Interior, Exterior, Chassis, Powertrain, Electrical, Water test, End of Line.
Added 1 hour ago
Project Procurement Lead
ATS Automation
Cambridge, ON
At ATS, a publicly traded global company with a proud 40-year history, we help drive the future with our factory-wide automation solutions. At ATS Industrial Automation, what we do matters…
Added 1 hour ago
Senior Growth Marketing Manager, Paid Social
Brex
Vancouver, BC
…visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters…
Added 1 hour ago
W
Quality Continuous Improvement Technincan
Wonderbrands
Amherst, NS
- Other
Maintain accurate records of quality checks, test results, and deviations using tools like iQMS.
Added 1 hour ago
GS
PL/SQL Developer
Gala Solutions
Montreal, QC
- Contract
We are seeking an experienced PL/SQL developer with strong Unix/Linux and DB2 database skills to join our team. The ideal candidate will be responsible for designing, developing,…
Added 1 hour ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
…Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities with existing applications, and provide practical implementation support to…
Added 1 hour ago
Reliability Engineering
Natus
Oakville, ON
…systems. You'll partner closely with Engineering, Verification Test, Quality, Service, and Manufacturing teams to transform product requirements, potential failure modes, and real-world…
Added 1 hour ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
Ensure Azure cloud deployment, EDP pipeline usage, and automation tooling are seamlessly integrated into the development process.
Added 1 hour ago
MM
Oracle EPM Analyst
Marsh McLennan
Toronto, ON
- Full-time
Build integration artifacts in Cloud Data Management and FDMEE, including locations, maps, custom/import scripts, and handling file-related or custom automation using Python Scripts.
Added 1 hour ago
G
Spécialiste en tests de logiciels / Software Test Specialist
Genetec
Sherbrooke, QC
- Full-time
Réviser avec les développeurs les critères d'acceptation des fonctionnalités, et rédiger des plans de test permettant de les valider
Added 1 hour ago
C
Project Analyst Co-op- Winter 2027
CIBC
Toronto, ON
- Full-time
…applying data organization, integration, visualization, and automation principles. Use and continue building your experience with tools such as SQL, application programming interfaces…
Added 1 hour ago
LG
Gestionnaire de test / Test Manager
Lionbridge Games
Brossard, QC
- Full-time
Diriger l’élaboration, la maintenance et l’exécution des cas de test, des outils et de la documentation.
Added 1 hour ago
M
RQ00826 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Provides advice on the testing strategy, test plans, the selection of testing tools, and the identification of resources required for testing

Derex Technologies Inc

AI Architect

Toronto, ON, Canada

Full-time

Apply About employer

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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.

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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

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