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Added 4 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 4 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 4 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 4 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 4 days ago
SC
Spécialiste DevOps IA (Senior)
SII Canada
Montreal, QC
- Full-time
Maîtrise des plateformes Cloud AWS, Azure ou GCP et des services Cloud dédiés à l’IA.
Added 4 days ago
D
Business Technical Analyst
Deloitte
Toronto, ON
- Full-time
We're growing our Product Engineering & Development team and seeking an experienced Junior Developer who can contribute to both delivery and pre-sales activities. Depending on your…
Added 4 days ago
AS
GCP Consultant
Apex Systems
Toronto, ON
- $49 to $54 USD / hour
- Contract
Hands-on expertise in Google Cloud Platform (GCP), with broad knowledge of GCP services and IAM; Azure or AWS experience alone is not sufficient
Added 4 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
At Mitra Innovation, we are the bridge between technical possibility and operational performance. Founded with a mission to empower businesses through intelligent technology, we are a…
Added 4 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation…
Added 4 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 4 days ago
B
Business Intelligence Specialist - Oracle
Bevertec
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Overview: Senior Business Intelligence Specialist with strong Oracle experience to support a Clinical Reporting and Data Exchange Program. The resource will develop the data integration and…
Added 4 days ago
MI
DevOPS/Cloud Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience building GitHub Actions workflows for application and infrastructure deployment, environment promotion, approvals, testing, rollback, and secure authentication to…
Added 4 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 4 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
Experience with a cloud infrastructure platform (preferably AWS).
Added 4 days ago
FI
Senior Software Engineer
Flexstaf I.T. Inc.
Canada
- Contract
RQ-2026-010087-Software Developer - Senior for Drug Formulary (DF)
Added 4 days ago
SI
Senior Site Reliability Engineer
STACK IT Recruitment
Remote, Canada
- $140,000 to $180,000 CAD / year
- Remote
We’re hiring a Senior Site Reliability Engineer to join an established consumer app company with a small engineering team. The focus is the AWS platform behind the app: Kubernetes,…
Added 4 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
…their roles. This will involve some relationship management with external partners or vendors, as well as mentoring other members of the Technology team to foster their…
Added 4 days ago
P
Senior Data Scientist
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You bring strong foundations in statistical modeling, predictive analytics, and optimization, along with strong Python skills and experience with tools such as scikit-learn, Pandas, NumPy,…
Added 4 days ago
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 4 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 4 days ago
ZS
Core java, Apache Spark, Python Developer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Job Title: Core java, Apache Spark, Python Developer
Added 4 days ago
Senior Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Senior Backend & AI Engineer for Siemens Digital Industries Operations Software, to lead the development and scaling of our Agentic AI platform. The role focuses on strong…
Added 4 days ago
Senior Agentic AI DevOps Engineer
Siemens
Kitchener, ON
Experience with AWS cloud services and cloud-native deployment.
Added 4 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 4 days ago
TC
Full Stack Engineer
The Credit Counselling Society
New Westminster, BC
- Full-time
…their roles. This will involve some relationship management with external partners or vendors, as well as mentoring other members of the Technology team to foster their…

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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