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Added 11 mins ago
S&
Planner, Demand Planning
Silk & Snow
Toronto, ON
- Full-time
Advanced proficiency in Microsoft Excel or Google Sheets (pivot tables, advanced formulas, financial/statistical modeling).
Added 11 mins ago
T
Customer Experience Associate
TD
Yorkton, SK
- Part-time
…with your manager, as well as access to an online learning platform and a variety of mentoring programs…
Added 11 mins ago
T
Senior Governance & Control Analyst, Canadian Commercial Banking (ATH465)
TD
Toronto, ON
- Full-time
Proficiency with Microsoft Office tools, including advanced Excel skills.
Added 11 mins ago
T
Personal Banking Associate
TD
Sault Ste. Marie, ON
- Full-time
Added 11 mins ago
T
Customer Experience Associate
TD
Renfrew, ON
- Part-time
…with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock…
Added 11 mins ago
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Sr. Manager, Workforce Readiness
McKesson
Mississauga, ON
- Full-time
Copilot Enablement & Adoption: Enterprise-wide adoption of Microsoft Copilot through learning journeys, communications, advocate networks, and measurement.
Added 26 mins ago
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Document Coordinator
Stantec
Calgary, AB
- Full-time
…management platforms. In this role, you will interpret client and platform requirements, organize cross-functional responses, resolve submission issues, monitor compliance status, and…
Added 26 mins ago
RW
Associate
RBC Wealth Management
Winnipeg, MB
- Full-time
Added 41 mins ago
MC
Financial Services Representative - Full Time
Meridian Credit Union
Mississauga, ON
- $50,000 to $53,000 CAD / year
- Full-time
Added 41 mins ago
Q
Bilingual Accounts Receivable (French/English)
Quadient
Markham, ON
- Up to $50,000 CAD / year
- Full-time
Strong proficiency with Microsoft Office, particularly Excel, Outlook, and Word.
Added 56 mins ago
Manager, Enterprise Data Platform & Governance
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
The Manager, Enterprise Data Platform & Governance will lead the team responsible for building, operating, scaling, and securing ACV’s core data infrastructure. In this role, you will be…
Added 57 mins ago
WG
Registered Nurse
Wesdome Gold Mines
Wawa, ON
- $111,350 to $144,100 CAD / year
- Full-time
…Company’s primary goal is to responsibly leverage its operating platform and high-quality brownfield and greenfield exploration pipeline to build a growing value-driven gold…
Added 1 hour ago
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Human Resources Generalist
Univeris
Toronto, ON
- Full-time
…clients representing over 17,000 financial advisors on the platform. It offers the most comprehensive wealth management solution for financial advisors in the credit union, banking,…
Added 1 hour ago
CH
Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
…trusted. You will lead Tier 2 and Tier 3 support and analysis for Microsoft Dynamics 365 Business Central (ERP), our Dynamics 365 CRM (XRM), Pawa (commercial planning) and our Power BI and…
Added 1 hour ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
Deep cloud-platform expertise, preferably with Microsoft Azure technologies such as Azure Data Factory, Databricks, Synapse, Fabric, Data Lake, and Azure DevOps.
Added 1 hour ago
Manager, Software Engineering
KEV Group
Toronto, ON
KEV builds mission-critical financial software for K12 schools across North America. Our platform provides real-time visibility and control over how funds are collected and managed,…
Added 1 hour ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 1 hour ago
SM
RQ11599 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…all or specific applications in a large, distributed, cross-platform environment. Responsibilities also include identifying relevant information and determining the environment that will be…
Added 1 hour ago
SJ
IAM Sr. Developer, IGA
So Jobs
Mississauga, ON
- Full-time
We are seeking a Senior Identity Governance & Administration (IGA) Developer to design, develop, and support enterprise identity security solutions across cloud, hybrid, and on-premises…
Added 1 hour ago
H
CI/CD Specialist
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure
Added 1 hour ago
Q
Bilingual Accounts Receivable (French/English)
Quadient
Markham, ON
- $50,000 CAD / year
- Full-time
Strong proficiency with Microsoft Office, particularly Excel, Outlook, and Word.
Added 1 hour ago
TN
Intermediate Software Engineer
The New Network
Calgary, AB
- Full-time
…deployment roadmap expand, they are hiring an Intermediate Software Developer to build core platform features, configure custom site implementations, and help scale software that interfaces…
Added 1 hour ago
WC
Manager, Software (Embedded & Digital Products)
Wabtec Corporation
London, ON
- Full-time
Familiarity with modern digital-platform technologies. Relevant technologies may include C#, .NET, Python, REST APIs, SQL, MQTT, Docker, Kubernetes, Microsoft Azure, or AWS.
Added 1 hour ago
MC
Financial Services Representative - Full Time
Meridian Credit Union
Hamilton, ON
- $50,000 to $53,000 CAD / year
- Full-time
Added 1 hour ago
ET
AI Architect
Envision Technology Solutions
Canada
- Contract
Hands-on expertise with Agentic AI platforms, including Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude, and other autonomous workflow systems.

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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