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Added 7 mins ago
Production Supervisor, Operations Engineering
L3Harris Technologies
Montreal, QC
…well as naval communications, underwater acoustics, handling systems, and visual landing aids. We take pride in our many products and geographically diversified organizations and are…
Added 7 mins ago
IR
Senior Quality Assurance Analyst - Remote/Hybrid (Canada)
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
The Senior Software QA Analyst’s role is to plan and execute effective test suites across various products and systems within Info-Tech’s Agile software development process. Our current…
Added 7 mins ago
A
Senior Mechanical Engineer
AECOM
AB · Edmonton, Alberta
- $120,000 to $160,000 CAD / year
- Full-time
AECOM’s Buildings + Places business line is seeking a Senior Mechanical Engineer to help lead building projects across commercial, institutional, and light industrial facilities, including…
Added 7 mins ago
RR
Mid-Market Account Executive
Rose Rocket
Remote, Canada
- Full-time
- Remote
Lead sophisticated, multi-threaded discovery across economic buyers, technical evaluators, and operational stakeholders to build comprehensive business cases.
Added 7 mins ago
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Software Developer
Cisco
Vancouver, BC
- Full-time
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Added 22 mins ago
Senior Transformation Director
D2L
Kitchener, ON · Toronto, ON
…partnering with functional leaders across the business and technical teams to reimagine how core processes and emerging technology will transform D2L’s approach to…
Added 22 mins ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
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Added 23 mins ago
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Technical Analyst, Halifax
J.D. Irving, Limited
Moncton, NB
- Full-time
0-2 years of experience in IT environments (network, systems and end user), ideally in a customer facing technical position
Added 23 mins ago
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Senior Java Spark Backend Developer
Apptad
Montreal, QC
- Contract
…maintaining high-performance, scalable, and secure backend…
Added 23 mins ago
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Human Resource Information System Manager
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BC · Fraser Valley, BC
- $90,000 to $125,000 CAD / year
- Full-time
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Added 23 mins ago
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Assembler
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- Full-time
Reviews project with Mfg. Supervisor or Assembler Lead, to gain understanding of work and deliverables required.
Added 37 mins ago
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Human Resources Generalist
Univeris
Toronto, ON
- Full-time
Technical Systems Aptitude: Hands-on operational experience with modern HR tools - such as BambooHR, Lever (or equivalent ATS), Confluence, Jira, and Google Workspace.
Added 37 mins ago
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Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
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Added 37 mins ago
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Controller / Contrôleur
Everguard
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- Full-time
Lead Financial Reporting, Governance and Stewardship
Added 37 mins ago
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Controller / Contrôleur
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NS · Dartmouth, Nova Scotia
- Full-time
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Added 37 mins ago
Quality Assurance Automation Engineer
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T2 Systems is the largest parking, mobility, and transportation provider in North America, with more than 25 years in the parking management industry and currently serving thousands of…
Added 52 mins ago
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Engineering Manager, Workday Integrations & Platform
TD
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- Full-time
Lead and manage a multidisciplinary team of Workday Integration Engineers, Technology Specialists, Business Systems Analysts and Quality Engineers, providing clear accountability for…
Added 52 mins ago
Manager, Software Engineering
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Toronto, ON
…managed, replacing fragmented workflows with secure, modern systems that schools rely on every…
Added 52 mins ago
Product Implementation Manager
Wärtsilä
Vancouver, BC
Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country.
Added 52 mins ago
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Director, Enterprise Architecture Strategy, Core Platform
Sunlife Québec
Montreal, QC
- Full-time
Lead architecture governance and ensure architecture decisions are documented, traceable, implementable, and aligned with security, resilience, operational, financial, and compliance…
Added 52 mins ago
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Director, Domain Enterprise Architect, Technology Modernization and Cloudification
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Montreal, QC
- Full-time
Assess the current-state technology estate to identify cloud migration opportunities, unsupported technologies, security vulnerabilities, platform fragmentation, technical debt, lifecycle…
Added 52 mins ago
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RQ11255 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…them against various system components. Work with the Testing Lead, IT Lead of each project, and project team members throughout the analysis, design, development, implementation, and…
Added 52 mins ago
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RQ11739 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
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- Internship
…solutions, REST APIs, microservices, and relational database systems. The ideal candidate will have strong hands-on expertise in Java, Oracle, SQL, secure communications, identity…
Added 52 mins ago
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RQ11599 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Windows Server environments. The successful candidate will lead infrastructure planning, database migrations and upgrades, middleware development and operations support, performance tuning,…
Added 52 mins ago
O
Partenaire d'affaires RH
Octasic
Montreal, QC
- Contract

Envision Technology Solutions

AI Architect

Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Oct 28, 2026

Original job description

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.

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More about this job

Responsibilities

Architect and lead the development, integration, deployment, and optimization of enterprise AI, machine learning, and generative AI solutions. Guide AI coding assistant and agentic workflow initiatives, prompt engineering, technical reviews, and responsible AI practices across cross-functional teams.

Requirements

Requires strong programming expertise and hands-on experience with AI/ML frameworks, generative AI architectures, agentic platforms, and cloud and MLOps services. The role also calls for enterprise architecture experience, technical leadership and mentoring, AI governance expertise, and strong analytical and communication skills.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Python
TensorFlow
PyTorch
Keras
Large Language Models
Agentic AI
Cloud Architecture
MLOps
Prompt Engineering
Retrieval-Augmented Generation
AI Governance
CI/CD
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Python
C#
Java
JavaScript
TensorFlow
PyTorch
Keras
Hugging Face
LangChain
LlamaIndex
Semantic Kernel
AutoGen
AutoGPT
CrewAI
Microsoft Copilot Agents
GitHub Copilot
Azure AI Studio
OpenAI
Azure OpenAI
AWS SageMaker
Azure Machine Learning
Google AI Platform
MLOps
Prompt Engineering
Retrieval-Augmented Generation
Vector Stores
Responsible AI

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