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Added 13 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 13 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 13 days ago
N
ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.
Added 13 days ago
F
Senior Embedded Software Developer
Fortinet
Burnaby, BC
- Full-time
…Unified Threat Management feature set (Anti-Virus, Web Filter, Data Leak Prevention and Anti-Spam). You love tackling challenging problems and take pride in writing clean, well thought-out…
Added 13 days ago
F
Senior Embedded Software Developer
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- Full-time
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Added 13 days ago
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Software/Application Developer Co-op
CIBC
Toronto, ON
- Full-time
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Added 13 days ago
C1
Senior Data Engineer (Microsoft Fabric) - 6 months Contract - Vancouver - (Hybrid)
Central 1
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- Full-time
Deliver against project commitments by contributing to the design, development, and implementation of data engineering solutions, ensuring alignment with timelines, quality standards, and…
Added 13 days ago
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GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
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IF
Senior AI Developer - Experience with Python, Spark/PySpark, Databricks, and AWS
Intact FC
Montreal, QC · Laval, QC
- Full-time
We’re looking for a Senior AI Developer - Experience with Python, Spark/PySpark, Databricks (including Unity Catalog), and AWS to join our growing team!
Added 13 days ago
AM
RTL Design Engineer
Advanced Micro Devices, Inc
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…technologies including security policy management, cryptography, data compression, high-throughput DMA, power management, and other advanced subsystem…
Added 13 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 13 days ago
BS
AI DevOps Platform Engineer
BULLTECH SOLUTIONS LTD
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 13 days ago
LE
BI Developer - 1 Year Contract
LG Electronics Canada
Toronto, ON · North York, ON
- Contract
As a Business Intelligence Developer, you will play a vital role in our data-driven strategy by leveraging your expertise in Microsoft SQL Server, ETL (SSIS), data engineering, data…
Added 13 days ago
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Security Detection Engineer
act digital
Montreal, QC
- Full-time
This is a highly technical, engineering-focused position primarily dedicated to the integration, implementation, and deployment of security detection use cases within complex enterprise…
Added 13 days ago
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Network Proxy Migration Specialist (Splunk)
Synechron
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- Full-time
Our expertise in AI, Consulting, Data, Digital, Cloud & DevOps and Software Engineering, delivers customized, end-to-end solutions that drive business value and growth.
Added 13 days ago
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AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $95 CAD / hour
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2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.
Added 13 days ago
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Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, QC
- $70,000 to $90,000 CAD / year
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Added 13 days ago
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Software Programmer
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- $62,000 to $80,000 CAD / year
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Work directly with other Systems Analysts, Project Managers, Sales, and Engineering resources to help design IT infrastructure supporting Physical Security and Audio Video solutions
Added 13 days ago
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AppOps, Senior Specalist
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- Full-time
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Added 13 days ago
Senior Agentic AI Software Backend & Platform Engineer
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…our Agentic AI platform. The role focuses on strong backend engineering, AI/ML engineering, pipeline ownership, data processing, and production hardening. You will build industrial grade AI…
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Senior Agentic AI DevOps Engineer
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Added 13 days ago
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Senior Optical Network Engineer
ROHL Global Networks Inc.
Acheson, AB
- Full-time
Alberta is becoming one of Canada’s fastest-growing data center markets, and ROHL Global Networks is building the fiber that connects it. We own and operate a long-haul fiber optic network…
Added 13 days ago
RG
Senior Optical Network Engineer
ROHL Global Networks Inc.
Acheson, AB
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Alberta is becoming one of Canada’s fastest-growing data center markets, and ROHL Global Networks is building the fiber that connects it. We own and operate a long-haul fiber optic network…
Added 13 days ago
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New Value Solutions

AI Solution Architect (ID#5443)

Vancouver, BC, Canada
Greater Vancouver, BC, Canada

Contract

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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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