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Added 11 mins ago
Q
Senior GRC Analyst
Quantexa
Ottawa, ON
- $116,000 to $146,000 CAD / year
- Full-time
It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping…
Added 11 mins ago
M&
Video Producer - Reach & Engagement
McKinsey & Company
Toronto, ON
- Full-time
…reflects the public conversation. You will also review performance data with analytics colleagues to improve formats over…
Added 11 mins ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Experience with cloud infrastructure and modern DevOps practices
Added 12 mins ago
D
Junior IT Support Specialist (Part-time)
DEPT®
Toronto, ON
- Part-time
…Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI.…
Added 12 mins ago
Senior Finance Business Partner
D2L
Vancouver, BC · Winnipeg, MB · Kitchener, ON · Toronto, ON
D2L is a cloud company that is modernizing education and building the Future of Work. The old models of teaching and learning are in the midst of the largest transformation in history, and…
Added 12 mins ago
Senior Oracle HCM Consultant - TERM
The City of Red Deer
Red Deer, AB
…provides strong technical expertise delivering integrations, data solutions and hands-on configuration, maintenance and reporting support for The City’s Oracle Cloud Human Capital…
Added 12 mins ago
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Sr Application Software Developer
BMO
Toronto, ON · SCC
- Full-time
…deliver high-quality software solutions. The Senior Full Stack Developer will design, build, and maintain scalable, secure, cloud-native applications leveraging AWS services, backend…
Added 27 mins ago
C
Product Lifecycle Manager
Ciena
Ottawa, ON
- Full-time
· Experience with Data Center and Service Provider architectures across access, aggregation, metro, core, edge, DCI, cloud interconnect.
Added 27 mins ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Design, develop, and maintain automated data pipelines and curated analytical datasets using SQL, Python/PySpark, and cloud-based analytics platforms.
Added 42 mins ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…Analyst is a technical lead responsible for system architecture, data strategy, and integration frameworks, ensuring the reliability, scalability, and security of critical business systems.…
Added 42 mins ago
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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 42 mins ago
Q
Senior GRC Analyst
Quantexa
Toronto, ON
- $116,000 to $146,000 CAD / year
- Full-time
It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping…
Added 42 mins ago
S
Senior Security Analyst
SAP
Toronto, ON
- Full-time
SAP Enterprise Cloud Services is looking for a Senior Security Specialist with a strong technological and security background across the stack. Your focus topic will be Security Incident…
Added 42 mins ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.
Added 42 mins ago
S
Application Developer
Sobeys
Dartmouth, NS
- Full-time
…currently have a Full-Time opportunity for a Salesforce Marketing Cloud Developer. This role can be based out of one our main offices including: Mississauga, ON; Stellarton, Dartmouth,…
Added 42 mins ago
HS
Senior Software Engineer
Henry Schein Canada
Surrey, BC
- Full-time
…technology so it works as one. When technology connects, more data is shared, more tasks are automated, and more work gets…
Added 42 mins ago
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Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
…as the organization's senior expert on enterprise computing, data, and AI…
Added 42 mins ago
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Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Integrate with healthcare data standards and legacy pharmacy systems
Added 42 mins ago
RO
Salesforce Administrator
RideCo On-Demand Transit
Waterloo, ON
- Full-time
Develop and maintain multiple experience cloud sites
Added 42 mins ago
HS
Senior Software Engineer
Henry Schein
Surrey, BC
- Full-time
…technology so it works as one. When technology connects, more data is shared, more tasks are automated, and more work gets…
Added 42 mins ago
M
RQ11569 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
specifications, writing and/or generating code, compiling data-driven programs,
Added 42 mins ago
Senior Technical Specialist
Insurance Corporation of British Columbia
North Vancouver, BC
…for the design, implementation, governance, and operation of cloud security services and controls across Amazon Web Services (AWS), Microsoft Azure, and hybrid environments. You will serve…
Added 57 mins ago
Senior Data Engineer
Capgemini
Calgary, AB
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 57 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 57 mins ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Solid experience architecting solutions on major cloud platforms (AWS, Azure, GCP), including familiarity with cloud-native AI, data, and security services.

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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