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Added 12 mins ago
AI
Snowflake ETL/ELT Developer
Apptoza Inc.
Calgary, AB
- Contract
Experience with CI/CD practices for data pipelines using Git, Azure DevOps.
Added 12 mins ago
FI
Salesforce Revenue Cloud Architect
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Experience with Agile delivery methodologies and DevOps practices.
Added 12 mins ago
ZS
Principal Databricks Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience with CI/CD pipelines using Git, Terraform, Jenkins, or Azure DevOps
Added 12 mins ago
VC
Senior Software Engineer (Golang, Microservices, DevOps)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $140,000 CAD / year
- Full-time
Position: Senior Software Engineer (Golang, Microservices, DevOps)
Added 12 mins ago
HB
Platform Engineer - Reliability - Elite FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $125,000 to $225,000 CAD / year
- Full-time
This role sits somewhere in between Platform / DevOps based work, and SRE. There is a focus on uptime, reliability and availability, whilst also conducting the necessary engineering,…
Added 12 mins ago
GS
DevOps Engineer
Gala Solutions
Montreal, QC
- Contract
Job Title: DevOps Engineer – Data Protection Services
Added 26 mins ago
T
Full-Stack Architect
TD
Toronto, ON
- Full-time
Guide architecture & engineering teams to define reusable patterns, leverage modern architectural approaches (DDD, DevOps, Events, Cloud, Microservices, Data Pipelines)
Added 26 mins ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…experience in Linux with SQL scripting knowledge, strong experience DevOps, Test Automation, AI, CD/CI, Github and Jenkins. It would be considered a strong asset if you have experience with…
Added 41 mins ago
SD
Technical Analyst
Symbiotic Digital
SK · Regina Central, Saskatchewan
- Contract
Added 41 mins ago
M
Senior Power BI Developer
Maarut
Montréal-Est, QC · Montreal/Quebec city, Quebec
- Contract
continuous integration or source control tools (Git, GitHub, Azure DevOps).
Added 41 mins ago
M
Salesforce Technical Lead - Financial Services Cloud
Maarut
Montréal-Est, QC · Montreal, Quebec
- Contract
Service Cloud is explicitly named, as is DevOps in a large-scale FSC deployment.
Added 41 mins ago
AI
ETL Developer - Snowflake
Apptoza Inc.
Calgary, AB
- Contract
Implement CI/CD pipelines using Git and Azure DevOps, with Control-M orchestration.
Added 41 mins ago
TC
Java Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Implement CI/CD processes and support DevOps practices.
Added 41 mins ago
PG
Angular Developer
Pacer Group
Montreal, QC
- $65 to $68 CAD / hour
- Contract
Experience with Git, Jenkins, Azure DevOps, CI/CD pipelines.
Added 41 mins ago
ZS
Chatbot Content Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience with CI/CD and DevOps concepts is desirable.
Added 41 mins ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Familiarity with CI/CD, DevOps, and DataOps practices.
Added 56 mins ago
IR
Senior Quality Assurance Analyst - Remote/Hybrid (Canada)
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
Liaise with software developers and DevOps to investigate, document, and resolve defects and environment issues efficiently.
Added 1 hour ago
EG
Observability Engineer
eHub Global Inc
Montreal, QC
- Contract
Collaborate with DevOps, SRE, and security teams to share best practices and support adoption of observability standards.
Added 1 hour ago
A
Senior Java Spark Backend Developer
Apptad
Montreal, QC
- Contract
Cross-Functional Collaboration: Partner closely with frontend teams, product managers, and DevOps to deliver seamless end-to-end features.
Added 1 hour ago
HT
Senior Quality Assurance Engineer
High Tech Genesis
Toronto, ON
- Contract
Experience with Jira, ALM, Azure DevOps, or similar defect/test management tools.
Added 1 hour ago
CH
Business Systems Analyst
Charton Hobbs Group
Montreal, QC
- Full-time
Experience testing and releasing changes, including test scenarios, user acceptance testing, version management in Azure DevOps or Git, and release notes.
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
SM
RQ11255 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…skills, experience with testing tools such as Jira and Azure DevOps, and the ability to develop and execute comprehensive test plans, test scripts, and test cases. Experience testing Oracle…
Added 1 hour ago
TC
Playwright Automation
Tata Consultancy Services
Canada
- Full-time
Collaborate closely with Product Owners, Business Analysts, Developers, and DevOps teams to ensure quality throughout the SDLC.
Added 1 hour ago
SM
RQ11739 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…integration, middleware, enterprise integrations, and Azure DevOps or comparable tools. The successful candidate will design, develop, integrate, test, deploy, and maintain reusable…

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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