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Added 34 mins ago
Senior Finance Business Partner
D2L
Vancouver, BC · Winnipeg, MB · Kitchener, ON · Toronto, ON
…- yes, a real person looks at your resume! While we use AI tools internally to streamline tasks like meeting notes, summaries, and administrative work, these tools never rank resumes, make…
Added 1 hour 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 1 hour ago
G
Développeur(euse) Logiciel / Software Developer - C#/.NET/Web
Genetec
Montreal, QC
- Full-time
…to the quality, stability, and continuous improvement of a product used daily by our…
Added 1 hour ago
P
Senior Software Developer in Test- 9 month contract- temporary
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will join an Agile team in Montreal as a quality mentor and automation specialist, driving test strategy and test coverage across our expanding suite of web, mobile, and service-based…
Added 1 hour ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Design and architect enterprise-wide capabilities leveraging AI coding assistants, copilots, and developer productivity tools (e.g., GitHub Copilot, Azure AI Studio assistants).
Added 1 hour ago
QT
Spécialiste en assurance de la qualité (AQ) / Quality Assurance (QA) Specialist
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $65,000 to $80,000 CAD / year
- Full-time
…manual and automated testing, work closely with developers, product managers and UX/UI designers, and play a direct part in the reliability of mission-critical…
Added 1 hour ago
Software Test Developer
D2L
Kitchener, ON
…- yes, a real person looks at your resume! While we use AI tools internally to streamline tasks like meeting notes, summaries, and administrative work, these tools never rank resumes, make…
Added 1 hour ago
W
Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
…back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire…
Added 1 hour ago
KM
Customer Success Manager (Burnaby)
Konica Minolta Business Solutions (Canada) Ltd.
Burnaby, BC
- Full-time
Be responsible to manage customer feedback through survey tools and other forms of customer feedback to ensure continued customer satisfaction
Added 1 hour ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
…and accurate as possible. This role will combine intelligent automation with rigorous validation to improve delivery speed, data quality, reliability, scalability, and cost…
Added 1 hour ago
B
Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
…quality, margin, client satisfaction and alignment to Broadridge product and growth…
Added 2 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
…CMOs, Chief Digital Officers, Customer Experience leaders, Product leaders, Data and Analytics leaders, and other business decision-makers. The Interactive Partner serves as a trusted…
Added 2 hours ago
A
Senior Client Growth Lawyer
Aimhire
ON · Ontario, Canada
- Full-time
Collaborate with product and engineering teams to improve client intake and automate workflows.
Added 2 hours ago
L
Software Engineering Fellowship - LUNARTECH - Canada
LUNARTECH
Canada
- Part-time
…backend, and the systems in between. You’ll collaborate with product, design, and AI/ML teams to deliver reliable user-facing experiences, robust APIs, and scalable…
Added 2 hours ago
W
Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire…
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Develop reusable prompts, agents, tools, evaluation components, and analytical services.
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Develop reusable prompts, agents, tools, evaluation components, and analytical services.
Added 2 hours ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Develop reusable prompts, agents, tools, evaluation components, and analytical services.
Added 3 hours ago
P
Manager, Data Integration
Prophix
Remote, Canada
- Full-time
- Remote
…Prophix One™ brings planning, reporting, consolidation, and automation together in a single place, and we are expanding its AI capabilities faster than ever. If you want to work on a…
Added 3 hours ago
L
Software Engineering Apprentice - LUNARTECH - Canada
LUNARTECH
Canada
- Part-time
…backend, and the systems in between. You’ll collaborate with product, design, and AI/ML teams to deliver reliable user-facing experiences, robust APIs, and scalable…
Added 3 hours ago
QT
Gestionnaire du programme technique / Technical Program Manager
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
They're looking for a Technical Program Manager to be the connective tissue between Product Management and Engineering. You'll turn requirements into a plan engineering teams can execute…
Added 3 hours ago
F
Staff Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
You will lead the design and development of foundational frontend systems, influence product and platform strategy, and help the team navigate complexity in workflows, automation,…
Added 3 hours ago
Technical Program Manager, Platform Services
Motive
Vancouver, BC
Experience driving AI-assisted developer workflow tooling or agentic automation in develo
Added 3 hours ago
Q
Senior Revenue Enablement Specialist, Digital
Quadient
Markham, ON
- $90,000 to $100,000 CAD / year
- Full-time
…operational efficiency with reliable, secure, and sustainable automation…
Added 3 hours ago
TT
Technology Lead Enterprise Platforms and Operations
Tundra Technical Solutions
Toronto, ON
- $140,000 to $145,000 CAD / year
- Full-time
…operational excellence across core productivity suites, workflow automation, custom web tools, and emerging AI technologies. You will act as the organizational "switchboard," bridging…

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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