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Added 11 mins ago
CL
Spécialiste en applications terrain / Field Application Specialist
CM Labs
Montreal, QC
- Full-time
CM Labs is seeking a dynamic Field Application Specialist with a minimum of 3 years of experience in an engineering software sales environment. This role presents a distinctive opportunity…
Added 11 mins ago
Procurement Specialist
Acciona
ON · CAN - Ontario Line North
…Ontario Line Elevated Guideway and Stations project. The chosen candidate has experience working in a construction environment and possesses technical proficiency, commercial acumen and…
Added 11 mins ago
EV
May 2027 Mechanical Engineering Co-op
Elk Valley Resources
Elkford, BC · Sparwood, BC
- $4,867 to $6,167 CAD / month
Collaborate with engineering team to produce detailed designs for mechanical projects on site such as upgrades to equipment or building facilities
Added 11 mins ago
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Real Estate & Operations Lead
Prologis
Toronto, ON
- Full-time
Bachelor’s degree in business, real estate, engineering, or a related discipline, or equivalent experience.
Added 11 mins ago
S&
Planner, Demand Planning
Silk & Snow
Toronto, ON
- Full-time
Bachelor’s Degree in Supply Chain Management, Operations, Business Administration, Engineering, or a related quantitative field.
Added 11 mins ago
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Customer Service Broker - Personal Lines (ON) - (Pipeline Collection)
Ratehub
Remote, Canada
- Full-time
- Remote
…Invest, and Protect. Every single team member, from product & engineering to sales & marketing, finance, operations, and everything in between is obsessed with one thing; helping Canadians…
Added 11 mins ago
Product Builder
Branch
Toronto, ON
The ideal candidate brings a background in product, growth, or product analytics at a high-growth ecommerce startup, combined with software development skills to bring ideas to life. This…
Added 11 mins ago
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Full-Stack Architect
TD
Toronto, ON
- Full-time
…role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational…
Added 11 mins ago
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Manager, Machine Learning (Canada)
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building agentic…
Added 11 mins ago
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Senior Project Manager, IT
CIBC
Toronto, ON
- Full-time
You have a degree/diploma in Computer Science, Engineering, Management Information Systems, or a related field of study. It’s an asset if you have your PMP designation.
Added 11 mins ago
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Product Manager - Simplii Financial
CIBC
Toronto, ON
- Full-time
Cross-functional collaboration - Work collaboratively across design, engineering, analytics, and operations to build strong relationships and contribute to shared squad goals.
Added 11 mins ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
Added 26 mins ago
CE
Instrumentation Maintenance Technician
Cenovus Energy
Rainbow Lake, AB
- Full-time
The successful candidate must reside in Rainbow Lake while on shift.
Added 26 mins ago
Senior Mine Specialist
Hatch
Saskatoon, SK
…internationally. This role will lead technical mining studies, provide engineering oversight across project phases, and collaborate with multidisciplinary teams to deliver world-class…
Added 26 mins ago
Postdoctoral Fellow, Infectious Diseases Team
National Research Council Canada
Ottawa, ON
Demonstrated research excellence in virus vector engineering and molecular biology.
Added 26 mins ago
FM
Test Developer, Automation
Ford Motor Company
Ottawa, ON
- Full-time
You will work as a member of the Data Collection Platform (DCP) software test team, the successful candidate will be involved in cutting edge embedded software development, working on…
Added 26 mins ago
K
Technical Solutions Manager (Network Solutions Architect)
Kyndryl
Regina, SK
- Full-time
…secure, resilient, scalable network solutions. The successful candidate will combine deep technical expertise with strong customer, vendor, and stakeholder leadership and will also provide…
Added 26 mins ago
Welding Engineer
BWXT
Cambridge, ON
Your Day to Day as our Weld Engineering - Intermediate
Added 26 mins ago
Engineer, Advance Manufacturing
Dana Incorporated
Oakville, ON
…product and service support through a network of nearly 100 engineering, manufacturing, and distribution…
Added 26 mins ago
R
Gestionnaire de comptes en approvisionnement / Account Manager Procurement
RTX
Longueuil, QC
- Full-time
Added 26 mins ago
PR
Senior Safety Instrumented System Engineer II
Parkland Refining BC Ltd.
Burnaby, BC
- Full-time
The successful candidate will develop and maintain Safety Requirements Specifications (SRS), support process hazard analyses and risk assessment activities, and provide technical oversight…
Added 26 mins ago
BV
VP, Operations & Transformation
Big Viking Games
Remote, Canada
- Full-time
- Remote
…serve on the leadership team and work alongside our product, engineering and creative leaders to set direction and deliver results across functions. Your remit covers studio production,…
Added 26 mins ago
R
Stage en formation technique- hiver 2027 | Internship Technical Training - Winter 2027
RTX
Longueuil, QC
- Full-time
Added 26 mins ago
Manager - Master Planning & Logistics (Automotive)
Schaeffler
Stratford, ON
Minimum: Bachelor’s Degree or Advanced Degree in Supply Chain Management,Engineering or business-related field
Added 26 mins ago
SD
Technical Analyst
Symbiotic Digital
SK · Regina Central, Saskatchewan
- Contract
lending solutions environment. The successful candidate will bridge business

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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