Jobs in Canada

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Added 27 days ago
E
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Experience: 3+ years of professional experience in software quality engineering, test automation, or data/ML engineering, with a dedicated focus on LLM testing, prompt tuning, or…
Added 27 days ago
B
DevOps Engineer - New Grad (January 2027)
BDO
Toronto, ON
- Full-time
Develop automation and scripting using Python, PowerShell, and Azure CLI.
Added 27 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
…repos are now aligned to faster container-based deployments with CI/CD pipelines. We are increasing the automation of testing and promoting a Shift-Left…
Added 27 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
…repos are now aligned to faster container-based deployments with CI/CD pipelines. We are increasing the automation of testing and promoting a Shift-Left…
Added 27 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 27 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 27 days ago
B
Director, Data Foundations, Automation & Infrastructure
BMO
Toronto, ON · YNG
- Full-time
As Director, Data Foundations, Automation & Information Infrastructure, you will lead a highly technical team responsible for delivering trusted, curated, and scalable data assets that…
Added 27 days ago
Q
FY27 Intern - Automotive Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Experience with scripting languages like Python and CI/CD workflows
Added 27 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
…building and operating Generative AI solutions, including agentic automation platforms, product-integrated GenAI capabilities and internal AI applications. The remaining 25% will involve…
Added 27 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 27 days ago
EC
Développeur(euse) logiciel principal(e) / Lead Software Developer
Eaton Corporation
Brossard, QC
- Full-time
Candidates must reside within 80km of Brossard, QC, Canada
Added 27 days ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Collaborate with development teams to ensure applications are designed for reliability, observability, and operational excellence
Added 27 days ago
HR
IT and Odoo Specialist
Haply Robotics
Montreal, QC
- Full-time
Python (for Odoo modules, integration scripts, lightweight automation).
Added 27 days ago
LV
Computer Vision Engineer, FPGA
LUCID Vision Labs, Inc.
Burnaby, BC
- Full-time
…a wide range of industries and applications such as factory automation, medical, life sciences and logistics. Our expertise combines deep industry experience with a passion for product…
Added 27 days ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 CAD / hour
- Contract
We are seeking an Expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud deployments.…
Added 27 days ago
R
Senior Site Reliability Engineer
RBC
Toronto, ON
- Full-time
Collaborate with development teams to ensure applications are designed for reliability, observability, and operational excellence
Added 27 days ago
Machine Learning Engineer, Software QA - Creativity Apps
Apple
Vancouver, BC
…from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are…
Added 27 days ago
C
Senior Offensive Security Engineer
Cognizant
Toronto, ON
- Full-time
…This role combines traditional offensive security expertise with AI/LLM security, cloud security, vulnerability management, and security automation. The ideal candidate will conduct web and…
Added 27 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
12-month contract | Hybrid in the Greater Vancouver Metropolitan Area | Must hold a valid Canadian Work Visa
Added 27 days ago
KG
Agent & DevOps Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
We are looking for an experienced Agent & DevOps Platform Engineer with 5 + years of expertise in AWS, Python, Kubernetes, CI/CD, DevSecOps, and AI/LLM platforms. In this role, you'll build…
Added 27 days ago
HN
Platform Systems Engineer
Harvey Nash
Vancouver, BC
- $135,000 to $160,000 CAD / year
- Full-time
Experience working with robotics, machine vision, autonomous systems, or industrial automation products
Added 27 days ago
R
Application Developer III
Raise
Toronto, ON
- Full-time
Location: Toronto, Waterloo, ON – Hybrid (onsite 2 days per week (3 days optional)
Added 27 days ago
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Senior Solar Energy Analyst
DNV
Montreal, QC
- Full-time
…Assessment team, you will prepare technical reports, collaborate with team members on appropriate assumptions and methodologies, communicate technical findings and project outcomes to…
Added 27 days ago
RB
Manager, ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Build and maintain CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Airflow)
Added 27 days ago
S
Embedded Software Developer
Scalian
Montreal, QC
- Full-time
We are looking for a Embedded Software Developer to collaborate on one of our projects in the Space sector.

Benchmark Recruitment

AI Solutions Architect

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 15, 2026
Experience: 12+ years of progressive experience in software development, solution architecture, or systems architecture, including recent hands-on delivery involving LLMs and AI integration
Posting language: English
Posted: Oct 16, 2026

Original job description

Job Title: AI Solutions Architect

12-month contract | Hybrid in the Greater Vancouver Metropolitan Area | Must hold a valid Canadian Work Visa

Our client, a leading provincial organization dedicated to workplace health, safety, and injury prevention, is seeking an experienced Senior AI Solutions Architect for a 12-month hybrid contract in the Greater Vancouver area.

The Senior AI Solutions Architect will provide architectural leadership and technical direction for a portfolio of AI-native application development and modernization initiatives. This is a senior, architecture-focused role that requires strong hands-on engineering capabilities, combining enterprise solution architecture with the practical design, development, and deployment of production-grade AI-powered applications on Microsoft Azure.

Working closely with a cross-functional AI software development team, the successful candidate will own the end-to-end solution architecture, from requirements gathering and technical design through implementation, testing, and production deployment. A key focus will be establishing and operationalizing an AI-Native Software Development Lifecycle (SDLC) that leverages AI-assisted development tools, agentic workflows, automation, and modern engineering practices to accelerate delivery while maintaining quality, security, and governance standards.

The role will involve designing and implementing solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI frameworks, multi-agent orchestration, and Azure AI services. The Architect will also establish reusable engineering standards, reference architectures, development playbooks, and quality assurance frameworks to support broader adoption across the organization.

The ideal candidate brings extensive experience in enterprise solution architecture and software engineering, with recent hands-on experience delivering AI-powered applications into production. This position requires someone who can operate as a principal architectural authority while remaining technically proficient at the code level, providing mentorship and guidance to senior developers and engineering teams.

Responsibilities:

Own the end-to-end solution architecture for AI-native applications and enterprise application modernization initiatives, defining logical components, interfaces, integration patterns, and foundational model selection
Establish and operationalize an AI-Native Software Development Lifecycle (SDLC) covering requirements intake, solution design, development, testing, deployment, and production support
Develop reusable technical playbooks, Architecture Definition Documents (ADDs), Architecture Decision Records (ADRs), reference architectures, engineering standards, and operational runbooks
Translate business objectives and requirements into scalable, secure, and maintainable technical solutions
Validate architectural decisions through hands-on prototyping, proof-of-concept development, and reference implementations
Design and build reference applications using C#, ASP.NET, .NET 10, Python, and Microsoft Azure, incorporating appropriate monitoring, logging, and observability capabilities
Architect and implement Retrieval-Augmented Generation (RAG) pipelines, including embeddings, retrieval strategies, re-ranking, and vector storage solutions
Evaluate and implement vector databases and search technologies such as Azure AI Search, Azure Cosmos DB, pgvector, and Qdrant
Design reusable agentic AI and multi-agent orchestration patterns using frameworks such as Semantic Kernel, AutoGen, CrewAI, LangGraph, LangChain, and LlamaIndex
Integrate LLMs and AI capabilities into enterprise applications using Azure OpenAI, OpenAI APIs, and open-source models
Define prompt engineering strategies, prompt versioning, memory management, task chaining, and evaluation approaches using tools such as PromptFlow or Prompty
Select, configure, and operationalize AI-assisted software development tools, including GitHub Copilot, Cursor, agentic development tools, and AI-enabled code review workflows
Establish standardized development workflows incorporating AI-assisted coding, automated testing, code review, and developer productivity improvements
Define and implement CI/CD pipelines, deployment processes, automated quality gates, release controls, and rollback procedures for AI-native applications
Ensure AI-assisted development activities comply with established enterprise change management, security, testing, and production readiness requirements
Integrate static code analysis, dependency scanning, secret detection, code quality checks, and review controls for AI-generated code
Design and implement AI evaluation and quality assurance frameworks, including LLM evaluations, automated regression testing, red-teaming, safety testing, and quality gates
Establish comprehensive AI observability and tracing capabilities using technologies such as Azure Monitor, Application Insights, Dynatrace, LangSmith, MLflow Tracing, and OpenTelemetry
Ensure solutions comply with privacy, security, data residency, regulatory, and responsible AI requirements, collaborating with security teams on AI-specific threat modeling
Evaluate the effectiveness of AI-native development practices against traditional delivery approaches, measuring development velocity, defect density, automation coverage, and delivery costs
Prepare and present pilot outcomes, measurable benefits, technical risks, and recommendations for scaling AI-native development practices
Deliver a reusable AI-Native SDLC adoption framework, including technical playbooks, reference architectures, toolchain configurations, governance checkpoints, security controls, and deployment checklists
Provide technical leadership, architecture guidance, code reviews, and mentorship to senior developers and engineers, promoting consistent engineering standards and best practices

Qualifications:

Undergraduate degree in Computer Science or a related STEM discipline; an equivalent combination of education and experience may be considered
12+ years of progressive experience in software development, solution architecture, or systems architecture, including recent hands-on delivery involving LLMs and AI integration
Demonstrated experience designing and delivering AI-powered applications, including LLM-based solutions, RAG pipelines, and agentic systems, from prototype through stable production deployment
Extensive experience defining enterprise solution architectures, engineering standards, Architecture Definition Documents, technical playbooks, and reference architectures
Strong hands-on software development experience with Python and C#/.NET Core, including object-oriented design and modern software engineering practices
Experience with ASP.NET and .NET 8/10 for cloud-native applications and APIs is preferred
Practical experience with agentic AI orchestration frameworks, such as Semantic Kernel, LangGraph, AutoGen, or CrewAI
Experience with AI/ML development frameworks and tools, including OpenAI SDKs, LangChain, and Hugging Face
Strong understanding of RAG and GraphRAG architectures, embeddings, vector search, and vector databases, including technologies such as Azure AI Search, Cosmos DB, pgvector, or Qdrant
Experience developing and executing AI evaluations, LLM regression tests, automated quality gates, and AI-driven testing frameworks
Expert knowledge of designing and implementing cloud-native solutions on Microsoft Azure, including microservices, containers, CI/CD pipelines, and MLOps practices
Strong experience with Azure OpenAI Service, including enterprise integration patterns, security considerations, and production deployment
Experience with Azure services such as Azure App Service, Azure Functions, Azure Container Apps, Azure SQL, Azure Key Vault, Azure DevOps, and Azure Monitor
Strong understanding of APIs, Git, Agile software development methodologies, and enterprise application integration
Hands-on experience using AI coding assistants and agentic development tools, such as GitHub Copilot, Cursor, or comparable technologies, is preferred
Experience with AI evaluation and benchmarking platforms, such as Azure AI Evaluation SDK or DeepEval, is considered an asset
Familiarity with AI observability and tracing tools, including Dynatrace, LangSmith, MLflow Tracing, Weights & Biases, or PromptFlow, is an asset
Experience with Infrastructure as Code (IaC) tools such as Terraform or Bicep is preferred
Understanding of AI security, privacy, responsible AI, data governance, and regulatory compliance within enterprise environments
Experience working within regulated industries, such as insurance, healthcare, government, or financial services, is considered an asset
Microsoft Certified: Azure Solutions Architect Expert or AWS Certified Solutions Architect certification is preferred
Demonstrated ability to provide technical leadership, architectural direction, mentorship, and code review to senior developers and engineering teams
Strong analytical and problem-solving skills, with the ability to evaluate complex architectural trade-offs and recommend practical solutions
Excellent written and verbal communication skills, including the ability to explain complex AI concepts, technical decisions, and architectural recommendations to both technical and non-technical stakeholders
Strong collaboration and stakeholder management skills, with experience working across cross-functional engineering, architecture, security, operations, and business teams

NOTE: Interested candidates who meet the above qualifications are encouraged to apply directly. Due to the volume of applications, only those shortlisted will be contacted.

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More about this job

Responsibilities

Own end-to-end architecture and hands-on delivery for AI-native applications and modernization initiatives, including LLM, RAG, and agentic AI solutions on Microsoft Azure. Establish an AI-native SDLC with reusable architectures, engineering standards, security and quality controls, observability, and deployment practices, while mentoring engineering teams.

Requirements

Requires 12+ years of progressive software development or architecture experience, including recent production delivery of LLM- and AI-integrated applications, and strong hands-on Python and C#/.NET skills. Candidates should have extensive Azure and enterprise architecture experience, knowledge of RAG and agentic frameworks, and demonstrated technical leadership; a computer science or related STEM undergraduate degree or equivalent education and experience is expected.

Skills

Solution Architecture
Python
C#/.NET
Microsoft Azure
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Azure OpenAI
CI/CD
AI Evaluation
AI Observability
Prompt Engineering
Cloud-Native Development
Technical Leadership
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Azure OpenAI Service
Azure AI Search
Azure Cosmos DB
Azure App Service
Azure Functions
Azure Container Apps
Azure SQL
Azure Key Vault
Azure DevOps
Azure Monitor
Python
C#
.NET 10
ASP.NET
Large Language Models
Retrieval-Augmented Generation
GraphRAG
Vector Databases
Semantic Kernel
LangGraph
AutoGen
CrewAI
LangChain
GitHub Copilot
Cursor
CI/CD
MLOps
Responsible AI
Terraform

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Jobs in Canada