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Added 1 day ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a Principal Consultant – AWS Data Platforms & Agentic AI to provide technical leadership in architecting, building and scaling next-generation enterprise Data and Agentic…
Added 2 days ago
LE
Lead Agentic AI Researcher
LG Electronics Canada
Toronto, ON
- Full-time
Toronto’s AI Lab is seeking a Lead Agentic AI Researcher to drive the development and application of agentic AI systems across LG Electronics’ global product portfolio. This role will lead…
Added 2 days ago
TD
Senior Solutions Architect (Pre-Sales)
Teifi Digital
Vancouver, BC
- $110,000 to $130,000 CAD / year
You'll join a growing architecture team of Principal, Solutions and Systems Architects, working alongside our Account Executives and reporting to the Director of Solutions Architecture.
Added 2 days ago
Senior Pre-Sales Solutions Architect – AI Agent & Workload Security
Tigera
Vancouver, BC
…govern them, and Lynx is how we help them do it. We’re hiring a Principal Solutions Architect in Vancouver to act as the number two for Lynx presales across North…
Added 3 days ago
W
Sr AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents.…
Added 3 days ago
PS
Solution Designer, Public Markets Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
…Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong…
Added 3 days ago
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group
Toronto, ON
Career acceleration and visibility – High visibility to senior leadership, clear paths to principal/architect roles, and the opportunity to establish yourself as a thought leader in…
Added 3 days ago
FG
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group, Inc.
Toronto, ON
- Full-time
Career acceleration and visibility – High visibility to senior leadership, clear paths to principal/architect roles, and the opportunity to establish yourself as a thought leader in…
Added 5 days ago
SL
Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Canada IT – Platforms and Engineering Domain is looking for a Principal AI Engineer with at least 10 years of engineering experience. This role will be instrumental in driving innovation,…
Added 7 days ago
T
SAP Enterprise Architect
Talan
Toronto, ON · Montreal, Québec
- $170,000 to $220,000 CAD / year
- Full-time
Reporting to the Principal Director, SAP Innovation and IP, the SAP Enterprise Architect defines and safeguards the end-to-end coherence of the SAP landscape and its connections to the…
Added 8 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
…Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI frameworks, multi-agent orchestration, and Azure AI services. The Architect will also establish reusable engineering…
Added 8 days ago
O
Principal Systems Architect (Copilot Architect)
OpenText
Richmond Hill, ON
- Full-time
As a Principal IT Systems Architect focused on AI solutions, you will be a recognized internal expert responsible for the architecture, development, and deployment direction of sustainable…
Added 8 days ago
O
Principal Systems Architect (Copilot Architect)
OpenText
Waterloo, ON
- Full-time
As a Principal IT Systems Architect focused on AI solutions, you will be a recognized internal expert responsible for the architecture, development, and deployment direction of sustainable…
Added 8 days ago
O
Principal Systems Architect (Copilot Architect)
OpenText
Mississauga, ON
- Full-time
As a Principal IT Systems Architect focused on AI solutions, you will be a recognized internal expert responsible for the architecture, development, and deployment direction of sustainable…
Added 8 days ago
TC
Principal Consultant – AWS Data Platforms & Agentic AI
Tata Consultancy Services
Toronto, ON
- Full-time
We are looking for a Principal Consultant – AWS Data Platforms & Agentic AI to provide technical leadership in architecting, building and scaling next-generation enterprise Data and Agentic…
Added 9 days ago
Senior Consultant
Lightworks
Toronto, ON
You will work inside client programs alongside teammates, Principal Consultants, senior client engineers, and Program Directors. You are expected to be able to operate independently,…
Added 9 days ago
A
Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
Proven experience serving as a Lead Architect, Enterprise Architect, Chief Architect, or Principal Architect for large-scale enterprise programs.
Added 10 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
…billion-dollar strategic decisions; clear advancement paths to Principal ML Architect or AI Research Lead roles; opportunity to establish yourself as a recognized voice in financial AI and…
Added 10 days ago
C
Senior / Principal Forward Deployed Engineering & AI Solutions Architect
CGI
Toronto, ON
- Full-time
CGI is seeking an accomplished, independent and commercially astute Senior / Principal Forward Deployed Engineering & AI Solutions Architect to help establish, evolve and deliver our…
Added 11 days ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
We are looking for a Principal Software Engineer to help architect and build the next generation of real-time communication technologies, including platforms that support AI-powered and…
Added 11 days ago
M
Principle Employee Enablement Architect
McKesson
Mississauga, ON
- Full-time
The Principal Architect, Employee Enablement defines and governs the architecture vision, strategy, and standards for the technology portfolio that enables how McKesson employees get work…
Added 11 days ago
T
SAP Enterprise Architect
Talan
Toronto, ON
- $170,000 to $220,000 CAD / year
- Full-time
Reporting to the Principal Director, SAP Innovation and IP, the SAP Enterprise Architect defines and safeguards the end-to-end coherence of the SAP landscape and its connections to the…
Added 16 days ago
H
Principal Architect- Agentic AI (Deep-Tech R&D)
HCLTech
ON · Ontario, Canada
- Full-time
The deep-tech authority and the BU's autonomy engine - drives novel agentic-AI R&D, reference architectures and the IP moat that compounds toward autonomous delivery.
Added 16 days ago
G
Principal AI Solutions Architect, Customer Success
Genesys
AB · Toronto, ON · ON · Quebec, QC
- Full-time
…enterprises create more effective customer experiences. As a Principal AI Solutions Architect, you will own the technical architecture and end-to-end delivery of sophisticated customer…
Added 17 days ago
M
AI Opportunities | Opportunités en IA
McKesson
Montreal, QC
- Full-time
Automation Team - for the builders. Agentic and automation obsessed. If a task can run itself, you'll make it. Open roles: Lead Solution Architect , Senior Business Analyst, Solution…

Benchmark Recruitment

AI Solutions Architect

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Contract

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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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