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Added 7 mins ago
Marketing & GTM Operations Lead (Hybrid)
OpenTable
Toronto, ON
As the Marketing & GTM Operations Lead, you will architect and modernize the operational foundation connecting marketing, enablement, and customer-facing teams. You will drive…
Added 37 mins ago
Developer
Insurance Corporation of British Columbia
North Vancouver, BC
Configure and support Genesys Cloud CX including Architect Flows, Routing, Queues, Skills, Digital Channels, and Workforce Engagement capabilities.
Added 53 mins ago
KG
IVR QA Automation Engineer (Bilingual French)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Hands-on configuration validation with Genesys Cloud CX (specifically Genesys Architect and ACD routing profiles).
Added 1 hour ago
C
Senior Customer Engineer, Digital Native - Vancouver BC
Cloudflare
BC · British Columbia, Canada
- Full-time
…go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value - guiding enterprise…
Added 1 hour ago
AI
Snowflake ETL/ELT Developer
Apptoza Inc.
Calgary, AB
- Contract
Architect data solutions using Medallion (Bronze, Silver, Gold) architecture.
Added 1 hour 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
Architect and develop high-performance backend services using Golang/Python.
Added 1 hour ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
Architect and build systems that can process a high volume of transactions;
Added 1 hour ago
A
Technology Strategy & Transformation Consultant
Accenture
Ottawa, ON · Toronto, ON
- Full-time
Support Business Development, building understanding of how to architect and position proposals and SOWs
Added 1 hour ago
K
Technical Solutions Manager (Network Solutions Architect)
Kyndryl
Regina, SK
- Full-time
Position: Technical Solutions Manager (Network Solutions Architect) (Non-Union)
Added 2 hours ago
KM
Services and Solutions Sales Executive - Konica Minolta Business Solutions
Konica Minolta Business Solutions U.S.A., Inc.
Burnaby, BC
- $62,800 to $90,276 CAD / year
- Full-time
Works directly with Branch Sales Managers, BSC Team Lead and Solution Architect to promote Solutions and Professional Services offerings, driven by Key Performance Indicators and KMBS…
Added 2 hours ago
KM
Services and Solutions Sales Executive - Konica Minolta Business Solutions
Konica Minolta Business Solutions U.S.A., Inc.
AB · Edmonton, AB
- Full-time
Works directly with Branch Sales Managers, BSC Team Lead and Solution Architect to promote Solutions and Professional Services offerings, driven by Key Performance Indicators and KMBS…
Added 2 hours ago
SQ
Director, Domain Enterprise Architect, Technology Modernization and Cloudification
Sunlife Québec
Montreal, QC
- Full-time
Reporting to the Assistant Vice President, Enterprise Architecture, Core Platforms, the Director, Domain Enterprise Architect, Technology Modernization and Cloudification leads the…
Added 2 hours ago
M
ServiceNow Architect
Mindlance
Woodbridge, ON
- Contract
Added 2 hours ago
Y
AWS Solutions Architect
Yochana
Toronto, ON · Scarborough, ON
- Contract
We are seeking an experienced AI & Cloud Resiliency Architect to design scalable, highly available, fault-tolerant, and resilient cloud and AI solutions. The ideal candidate will have…
Added 2 hours ago
TC
ServiceNow Architect
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Architect integrations between ServiceNow and monitoring, observability, cloud, network, infrastructure, application, and third-party operational platforms.
Added 3 hours ago
ET
AI Architect
Envision Technology Solutions
Canada
- Contract
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.…
Added 3 hours ago
PG
Solution Architect with AI Experience
Pacer Group
Toronto, ON
- Contract
Job Title: Solution Architect with AI Experience
Added 3 hours ago
B
Software Engineer I
Beanfield
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Technical Design: Collaborate with the Solutions Architect to translate high-level requirements into tangible technical designs and implementation plans.
Added 4 hours ago
QC
Senior Software Engineer
Quarry Consulting
Canada
- Full-time
Architect, deploy, and manage cloud infrastructure using best practices in IaC and DevOps tooling
Added 10 hours ago
AT
Senior DevSecOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
Architect and maintain secure, scalable cloud and cloud-native environments.
Added 10 hours ago
D
Tier 4 Technical Support Architect
Diligent
Canada
- Full-time
As a Tier 4 Technical Support Architect, you will provide an exceptional level of support to customers across all
Added 11 hours ago
Z
Technical Architect- Presales (Custom Software)
Zazz
Canada
- Full-time
A technical foundation as a developer, solutions architect, technical consultant, or tech lead, with real hands-on experience building software.
Added 12 hours ago
ES
Audio Software Engineer - EA SPORTS™ NHL
EA SPORTS
Victoria, BC
- Full-time
Architect and implement scalable runtime audio systems, authoring tools, and content pipelines.
Added 13 hours ago
L
Legal Engineer - In-House
Legora
Toronto, ON
- Full-time
…It's part legal ops, part product specialist, part solutions architect, and part client whisperer. If you enjoy roles that stay static, this probably isn't it. Your mission is to help our…
Added 13 hours ago
NC
Solutions Architect
NAV CANADA
Ottawa, ON
- Full-time
The Solutions Architect contributes to the analysis and design activities required for implementing current changes and enhancing the future Air Traffic Management (ATM) system. This role…

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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