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Added 2 mins ago
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Customer Delivery Architect
Cisco
Montreal, QC
- Full-time
We partner with customers, sales teams, and engineering groups to deliver comprehensive solutions. We work alongside internal and external partners to deploy Cisco services, maintaining…
Added 17 mins ago
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IVVQ Test Specialist
Thales
Mill Bay, BC
- Full-time
Work with System and Software Engineering in identifying and analyzing defects.
Added 17 mins ago
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IVVQ Test Specialist
Thales
Fredericton, NB · Halifax, NS
- Full-time
Work with System and Software Engineering in identifying and analyzing defects.
Added 17 mins ago
T
AVP, Technology Portfolio Management, Transaction Banking & Payments, TD Securities
TD
Toronto, ON
- Full-time
…modern ledger and ledger integration; and wholesale payments platforms and…
Added 17 mins ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
…control, automation, and a leading farm management information system. The Semios Group includes trusted brands such as Semios, Agworld, Altrac, and Greenbook. We continue to drive the next…
Added 32 mins ago
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Senior Java Backend Engineer
Citi
Mississauga, ON
- Full-time
…infrastructure. The ideal candidate bridges the gap between application engineering and data…
Added 47 mins ago
HP
HPC & AI Software - Engineering Resolution Engineer
Hewlett Packard Enterprise
Mississauga, ON
- $118,500 to $168,500 CAD / year
- Full-time
…Responsibilities may include leading customer troubleshooting meetings, system testing and upgrades, and monitoring issue tickets. Candidate is expected to analyze software issues and…
Added 47 mins ago
Electrical/Electronic Design Engineer
National Research Council Canada
Ottawa, ON
Apply systems engineering principles including requirements development, interface management, system integration, verification, and validation activities.
Added 47 mins ago
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Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
Working closely with the Software Engineering Manager and business teams, you will take ownership of assigned systems from requirements gathering through design, development, testing,…
Added 1 hour ago
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Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
…what’s working, what’s not, and ship more winning ads across platforms like YouTube, LinkedIn, Meta, and…
Added 1 hour ago
ML
Sr. Automation Specialist - Contract
Maple Leaf Foods Inc
Winnipeg, MB
- Contract
Ensure equipment and systems comply with the Corporate Engineering controls standards (O Addendum series), and legislation standards are adhered to for new and upgraded equipment.
Added 1 hour ago
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Production Support Specialist
Hays
Toronto, ON
- Contract
The successful candidate will work closely with engineering and development teams to handle problem management activities, including designing, building, and maintaining systems while…
Added 1 hour ago
CC
Maintenance Technician - 6 Month Temp.
Carfair Composites
Winnipeg, MB
- Full-time
Maintains the work order log and updates the Maintenance Management System
Added 1 hour ago
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System Engineer
MCAP
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Full-time
Contribute to system design models, specifications, diagrams, and charts to provide direction to system programmer and development teams.
Added 1 hour ago
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Salesforce Architect- FSC
Delpath
Toronto, ON
- Contract
Business group: Commercial Global Engineering team is seeking a Salesforce Solutions Architect- responsible for architecture, design, and development on Salesforce platform for complex…
Added 1 hour ago
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Project Manager (Engineering Applications)
VueReal
Waterloo, ON
- Full-time
We are looking for an Project Manager to join our engineering team in Waterloo, ON. Working with the PMO, engineering leads, and cross-functional teams, you will support the planning and…
Added 1 hour ago
SH
Manager, Analytics, Revenue, and Software Development
Scarborough Health Network
EO Head Office
- Full-time
…safe patient care using the shared Epic Clinical Information System (“CIS”) to over 1.5 million patients residing in both rural and urban communities located in the Central East region of…
Added 1 hour ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Experience with server infrastructure and virtualization platforms such as Hyper-V or VMware
Added 1 hour ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Experience with server infrastructure and virtualization platforms such as Hyper-V or VMware
Added 1 hour ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Experience with server infrastructure and virtualization platforms such as Hyper-V or VMware
Added 1 hour ago
QT
Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $70 to $90 CAD / hour
- Contract
- Develop Linux scripts to capture system metrics, including CPU, memory, network utilization, network errors, and infrastructure configuration.
Added 1 hour ago
EI
Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
Solve Big Challenges: Tackle complex technical problems, whether it’s building a new feature, optimizing performance, or making a system more secure.
Added 1 hour ago
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Développeur(euse) logiciel / Software Developer - Edge Platform (Edge OS)
Genetec
Quebec, QC
- Full-time
We are looking for a Software Developer to help build the next generation of Genetec Edge OS, our operating system for edge appliances, and its remote management ecosystem. You'll be part…
Added 1 hour ago
MI
Senior Electrical Engineer_MP-SEC-ELEC-SEN
Multi-Phase Industrial & Infrastructure Projects Inc.
Regina, SK
- Full-time
…providing expert advice and innovative solutions to electrical engineering challenges. The successful candidate will collaborate closely with cross-functional teams, including project…
Added 2 hours ago
SERVICE DESIGN CONSULTANT
City of Toronto
Toronto, ON
…approach to drive standards, capabilities, and the scaling of platforms, with a focus on providing outcomes that result in public access to inclusive, accessible, integrated services via…

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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