Jobs in Canada

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Added 23 days ago
TS
AVP, AI & Innovation
TD Securities
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 23 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
…enhances pricing models, risk analytics, trading tools, and automation solutions that enable efficient execution, risk management, and client service across a broad range of derivatives…
Added 23 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 23 days ago
T
Engineer I
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 23 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Partner with Platform/SRE on SLIs/SLOs, incident response, and postmortems.
Added 23 days ago
T
Business Insights Specialist ( Data Quality & Validation Financial Crimes)
TD
Toronto, ON
- Full-time
Must have strong coding experience in at least one of the following: Python, PySpark or SQL
Added 23 days ago
AR
Senior Quality Assurance Analyst
Atlas-Apex Roofing Inc.
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $105,000 CAD / year
- Full-time
Experience with test automation is considered a strong asset, as we continue to enhance our testing processes and improve overall efficiency.
Added 23 days ago
Application Security Engineer
Opendoor
Toronto, ON
…remediation pull requests, replacing manual security review with high-signal…
Added 23 days ago
RA
Software Engineering Intern - Applications (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to…
Added 23 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
The successful candidate will work closely with architects, product owners, data scientists, and engineering teams to implement AI-driven capabilities including LLMs, Agentic AI workflows,…
Added 23 days ago
VS
Senior Software Developer in Test (AI Portfolio)
Vena Solutions
Remote, Canada
- $114,750 to $155,250 CAD / year
- Full-time
- Remote
As a Senior Software Developer in Test, you will be responsible for the development, execution, and maintenance of automated tests to support the Software Test Life Cycle for Vena’s agentic…
Added 23 days ago
O
Embedded Firmware Developer
OPISystems
Calgary, AB
- Full-time
We are looking for an experienced Embedded Firmware Developer to join our engineering team immediately. This role will focus initially on supporting and enhancing our BLUE® platform,…
Added 23 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Implement Infrastructure as Code (IaC) for platform components and create automation tools for efficient platform management.
Added 23 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
In FC Quality Verification Engineering, our mission is to help our teams identify quality issues earlier. We build automation frameworks and developer tools that combine software…
Added 23 days ago
Senior Software Engineer
Electronic Arts
Vancouver, BC
In FC Quality Verification Engineering, our mission is to build the technology, large-scale test automation, and AI-powered developer tools that help our EA SPORTS FC teams understand game…
Added 23 days ago
NV
AI Solution Architect (ID#5443)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Build reference implementations using C#, ASP.NET, .NET 10, Python, and Azure with monitoring, logging, and observability, establishing the patterns the engineering team scales to…
Added 23 days ago
AD
Security Detection Engineer
act digital
Montreal, QC
- Full-time
…role requires strong expertise in Linux systems, databases, Python scripting, and security monitoring technologies. This is not a traditional SOC analyst or incident response position. The…
Added 23 days ago
IC
AppOps, Senior Specalist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Experience using scripting and automation technologies such as Bash, PowerShell, Python and Ansible.
Added 23 days ago
Senior Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
Collaborate with DevOps teams on CI/CD, deployment automation, and cloud infrastructure.
Added 23 days ago
Senior Agentic AI DevOps Engineer
Siemens
Kitchener, ON
…ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work.…
Added 23 days ago
Senior Web Technical Product Manager
Appnovation Technologies
Toronto, ON
As a Full-Stack Developer / AI Design-to-Dev, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a…
Added 23 days ago
Web Platforms Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack Developer / AI Design-to-Dev, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a…
Added 23 days ago
C
Principal Consultant, Secure Microsoft 365 Collaboration and AI
CrucialLogics
Canada
- Full-time
Experience with cross-tenant migration, automation and multi-tenant environments.
Added 23 days ago
HT
IT Product Engineer - HRIS
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Build and maintain AI agent frameworks with human-in-the-loop (HITL) safeguards for sensitive HR decisions, ensuring accuracy, compliance, and elimination of hallucinations.
Added 23 days ago
ZS
Platform Modernization Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Familiarity with CI/CD pipelines and automation testing

New Value Solutions

AI Solution Architect (ID#5443)

Vancouver, BC, Canada
Greater Vancouver, BC, Canada

Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

New Value Solutions, a national IT consulting company, is seeking an AI Solution Architect to define the architecture and set the technical direction for AI-Native projects. This is a senior, architecture-led role that remains hands-on and credible at the code level, providing technical leadership to the cross-functional engineering team that designs, builds, and deploys production-grade application rewrites using AI-native tools and techniques on the Azure platform.

Responsibilities:

Own the end-to-end solution architecture for AI-native applications and application rewrites, defining logical components, interfaces, integration patterns, and foundational model selection (LLMs/SLMs).
Architect and introduce an end-to-end AI-Native SDLC playbook covering the full lifecycle from requirements intake through production deployment, documenting methodology, roles, decision points, trade-offs, lessons learned, and reusable templates.
Author Architecture Definition Documents (ADDs), reference architectures, and engineering standards (ADRs, runbooks) that guide the delivery team's implementation.
Translate business objectives into solution designs and validate architectural feasibility through hands-on prototyping, proof-of-concept builds, and reference implementations.
Build reference implementations using C#, ASP.NET, .NET 10, Python, and Azure with monitoring, logging, and observability, establishing the patterns the engineering team scales to production.
Architect and build reference RAG pipelines (embeddings, retrieval, re-ranking) and define vector storage solutions (e.g., Azure AI Search, Cosmos DB, pgvector, Qdrant) to meet latency, cost, and quality targets.
Design and standardize agentic AI frameworks and multi-agent orchestration patterns (e.g., Semantic Kernel, AutoGen, CrewAI, LangGraph, LangChain, LlamaIndex) as reusable orchestration components.
Integrate LLM and AI capabilities into enterprise applications using Azure OpenAI, OpenAI APIs, and open-source models, progressing reference solutions from prototype to production-ready release.
Define prompt engineering strategies, prompt versioning, memory management, and task chaining with evaluation coverage using frameworks such as PromptFlow or Prompty.
Select, configure, and operationalize the AI development toolchain, including IDE integration (e.g., VS Code, Visual Studio), AI coding assistants (e.g., GitHub Copilot, Cursor), agentic development tools (e.g., Copilot Agent Mode), AI-assisted code review, and developer workflow automation.
Define and implement the release and deployment process, ensuring AI agents and AI-assisted development activities operate within existing enterprise guardrails, including change management, approvals, automated test gates, deployment controls, rollback procedures, and production readiness reviews.
Integrate application quality, risk, and release-readiness controls into the pipeline, including static analysis, dependency scanning, secret detection, code quality checks, and review gates for AI-generated code.
Design and govern AI evaluation and quality assurance processes using LLM eval frameworks (e.g., Azure AI Evaluation SDK, DeepEval), including automated regression suites, red-teaming, safety testing, and quality gates for AI-generated outputs.
Establish AI observability and tracing using Azure Monitor, Application Insights, Dynatrace, LangSmith, and MLflow Tracing (OpenTelemetry) for end-to-end request logging, latency tracking, and trace correlation.
Ensure solutions adhere to privacy, security, data residency, and ethical-AI regulatory requirements, collaborating with security teams on threat modeling unique to intelligent systems.
Produce a measurable comparison of the AI-native SDLC against the current lifecycle, covering delivery velocity, defect density, automation coverage, and cost-to-deliver.
Present pilot outcomes, quantified benefits, risks, and recommendations on scaling the AI-native SDLC methodology to senior stakeholders across future application rewrites.
Deliver a reusable AI-Native SDLC adoption package, including playbook, reference architecture, toolchain configuration, delivery templates, governance checkpoints, security gates, and production deployment checklist.
Provide technical direction, coaching, and code review to senior developers and engineers, mentoring the team and raising engineering standards across the portfolio.

Requirements:

Undergraduate degree in Computer Science or a related STEM (Science, Technology, Engineering or Math) discipline.
12+ years of progressive software development and solution/systems architecture experience, including recent hands-on delivery with LLMs or AI integration (an equivalent combination of education and experience may be considered).
Proven experience designing AI-powered solutions (LLM/RAG/agentic systems) and transitioning them from prototype to stable production release, with strong current engineering ability on par with senior developers.
Demonstrated experience defining engineering standards and authoring Architecture Definition Documents (ADDs), technical playbooks, and reference architectures.
Strong development capability in Python and C#/.NET Core, with object-oriented design.
Hands-on experience with agentic orchestration frameworks (e.g., Semantic Kernel, LangGraph, AutoGen, CrewAI) and AI/ML frameworks (e.g., OpenAI SDKs, LangChain, Hugging Face).
Familiarity with RAG/GraphRAG, embeddings, and vector databases (e.g., Cosmos DB, pgvector, Qdrant, Azure AI Search).
Experience developing and executing AI-driven tests (e.g., LLM evals, regression suites, and automated quality gates).
Expert knowledge of designing and implementing cloud-ready solutions on Azure, spanning microservices, containers, CI/CD pipelines, and MLOps practices.
Knowledge of APIs, Git, and Agile software development practices.
Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences, including senior stakeholders.
Strong collaboration and leadership skills within cross-functional teams.

Preferred Requirements:

Azure Solutions Architect Expert or AWS Certified Solutions Architect, with demonstrated mastery of Azure OpenAI Service architectures, MLOps orchestration, and enterprise data landing zones.
Experience with advanced agentic frameworks and multi-agent orchestration (e.g., CrewAI, LangGraph, AutoGen Studio, Semantic Kernel Agents).
Hands-on use of AI coding assistants and agentic development tools (e.g., GitHub Copilot, Cursor) in production delivery.
Experience with AI evaluation and benchmarking platforms (e.g., Azure AI Evaluation SDK, DeepEval).
Familiarity with AI observability and tracing tools (e.g., Dynatrace, LangSmith, MLflow Tracing, Weights & Biases, PromptFlow).
Experience with ASP.NET and .NET 8/10 for cloud-native web applications and APIs.
Azure platform experience including Azure App Service, Azure Functions, Container Apps, Azure SQL, Azure Key Vault, Azure DevOps, and Azure Monitor.
Experience with Infrastructure as Code (Terraform or Bicep).
Experience in regulated industries (insurance, healthcare, government, financial services) where compliance, audit, and governance are required.

If you have the necessary expertise and able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those shortlisted will be contacted.

ID# 5443

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More about this job

Responsibilities

Own the architecture and technical direction for AI-native applications and rewrites, while building hands-on reference implementations, RAG pipelines, agentic orchestration, and production-ready Azure solutions. Establish the AI-native SDLC playbook, toolchain, quality and security controls, observability, and deployment practices, and coach engineering teams while reporting pilot outcomes to senior stakeholders.

Requirements

Requires 12+ years of software development and solution or systems architecture experience, including recent hands-on delivery of LLM or AI integrations, and a degree in Computer Science or a related STEM discipline. Candidates should have strong Python and C#/.NET skills, production experience with AI-powered solutions and Azure, and expertise in architecture standards, agentic frameworks, RAG, AI evaluation, cloud delivery, and cross-functional technical leadership.

Skills

AI Solution Architecture
AI-Native SDLC
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Azure
C#/.NET
Python
Vector Databases
Prompt Engineering
AI Evaluation
MLOps
CI/CD
Cloud-Native Architecture
Security and Governance
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Solution Architecture
AI-Native SDLC
Azure
Azure OpenAI
C#
.NET
Python
Large Language Models
Small Language Models
Retrieval-Augmented Generation
GraphRAG
Vector Databases
Semantic Kernel
LangGraph
AutoGen
CrewAI
LangChain
LlamaIndex
Prompt Engineering
AI Evaluation
MLOps
CI/CD
Microservices
Containers
Infrastructure as Code
Terraform
Bicep
Observability
Security and Governance

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Work requirements

Jobs in Canada