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Added 2 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 2 mins ago
C
Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
The Vice President (VP) / Senior Software Engineer – Technical Remediation & Enablement Lead is a hands-on, code-level technical specialist responsible for driving the direct remediation of…
Added 2 mins ago
C
Senior Manager, Lifecycle Management & Reliability
Ciena
Ottawa, ON
- Full-time
Lead and develop a multidisciplinary hardware engineering team supporting packet and optical networking platforms through development, qualification, manufacturing, sustaining, field…
Added 2 mins ago
FM
Manufacturing Technical Analyst
Ford Motor Company
Oakville, ON
- Full-time
Lead manufacturing assembly builds, including Design Confirmation Vehicle, Tooling Trial, Pre-Production, Mass Production 1, and Mass Production 2, across assembly plants in Canada, Mexico,…
Added 17 mins 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 33 mins ago
Reliability Engineering
Natus
Oakville, ON
Lead the development of standardized and automated reliability test methods and systems to evaluate hardware durability (environmental, mechanical, and electrical stresses), signal quality…
Added 48 mins ago
G
Demand Generation Manager
Guusto
Canada
- Full-time
We run lean, so you'll test ideas before we commit real budget. You'll be a great fit if you like to build the play, run it yourself, and measure it in pipeline. You’re naturally curious…
Added 48 mins 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
Develop test plans, test scripts and test cases and execute these against the various components. Work with the testing lead and IT lead of each project as well as the project team members…
Added 1 hour ago
W
Principal Process Automation Engineer
Worley
Vancouver, BC
- Full-time
…expansion of new business opportunities within the industrial automation sector by leveraging cutting-edge digital, technology, and autonomous solutions. The consultant will play a pivotal…
Added 1 hour ago
IM
Engineering Project Manager
Impossible Metals
Collingwood, ON
- Full-time
Supporting planning and execution for prototype builds, test campaigns, mobilizations, vessel integration, and offshore or field deployments
Added 2 hours ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
…collaboration are key components of our corporate culture. As a Lead UX Developer on the Viewing and Transformation Development team, you will independently design, build, and constantly…
Added 2 hours ago
HT
Designer, Development (Electrical)
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 2 hours ago
M
RQ11656 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Use automation tools and frameworks such as Selenium, Appium, Playwright or similar to create robust and reusable test scripts.
Added 2 hours ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
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…
Added 2 hours ago
Packaging Machine Operator
Organigram
Aylmer, ON
Our operations span four provinces, purpose-built to lead across multiple product formats:
Added 2 hours ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a hands-on, strategic Manager, Analytics Engineering to lead the modernization of enterprise data platforms from Hadoop to Microsoft Azure. A core mandate is to build…
Added 3 hours ago
A
AIR TRAFFIC MANAGEMENT PRODUCT SPECIALIST II
Adacel
Montreal, QC
- Full-time
Crée des spécifications détaillées de vérification des tests et assure la traçabilité des cas de test aux exigences système et logicielles.
Added 3 hours ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
…Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work…
Added 3 hours ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Lead database release automation, code reviews, and schema migrations across development, staging, and production environments.
Added 3 hours ago
I
Lead SAP TMS Consultant
Infosys
Calgary, AB
- Full-time
…digital solutions. We focus on integrating advanced AI and automation to enhance operational efficiency and support long-term business objectives. Join us to be part of a team that is…
Added 3 hours ago
KI
PL/SQL Developer in Montreal, QC- Canada - Interviews this weekend
KPG99 INC
Montreal, QC
- Contract
…maintaining, and optimizing database solutions, batch processes, and automation scripts that support critical business applications. The role requires strong analytical skills, attention to…
Added 3 hours ago
B
Automation Lead – Playwright, TypeScript
BeachHead
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Can you lead automation delivery while driving quality across complex financial technology initiatives? Apply Now!
Added 3 hours ago
D
Lead AI.Net Developer
Digitive
Canada
- Contract
We are looking for a highly hands-on, execution-focused Lead AI Developer to serve as the ground-level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the…
Added 3 hours ago
O
Manager, Corporate Reporting and Financial Services
OPTrust
Toronto, ON
- Full-time
…leads practical improvements in process design, data quality, automation, and responsible use of artificial intelligence. Working across teams, the role strengthens reporting integrity,…

Derex Technologies Inc

AI Architect

Toronto, ON, Canada

Full-time

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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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