Find work in Canada.

317,657 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 11 days ago
Senior Data Engineer (DBX)
Munich Re
Toronto, ON
Please note that the internal job title for this position is Senior Application Developer.
Added 11 days ago
Application Support Analyst
Mitsubishi Heavy Industries, Ltd.
Mississauga, ON
Solid hands-on experience on Python, SQL, XML and HTML.
Added 11 days ago
A
Senior Analyst, Data Platform DevOps
AIMCo
AB · Calgary, AB · Edmonton
- Full-time
Develop and maintain CI/CD pipelines, automation frameworks, developer tooling, and operational processes that improve platform efficiency and resiliency.
Added 11 days ago
FB
Senior Data Architect
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Strong command of Python, advanced SQL, and data modeling across analytical and operational paradigms.
Added 11 days ago
E
Software Engineer, Machine Learning
Ema
Vancouver, BC
- Full-time
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Added 11 days ago
A
Technologue en géomatique
AtkinsRéalis
Montreal, QC
- Full-time
Knowledge of Python, ModelBuilder, or FME for automating integration and validation tasks is considered an asset.
Added 11 days ago
TC
Full stack developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong programming skills in front-end and back-end technologies such as: – Front-end: JavaScript, TypeScript, React, Angular, or Vue.js – Back-end: Java, Node.js, Python, or C#
Added 11 days ago
B
AI Solution Architect
Bombardier
Dorval, QC
- Full-time
Remain hands-on in Python, TypeScript, C#, .NET, SQL, or equivalent enterprise technologies; diagnose difficult issues, review code, build targeted proofs of concept, and help teams unblock…
Added 11 days ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
Strong programming skills in Python (preferred), Java, or JavaScript.
Added 11 days ago
Sr. SDET
Dialpad
Vancouver, BC
As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a…
Added 11 days ago
VS
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
- Full-time
- Remote
…practices for Vena's SaaS platform. As a Senior Site Reliability Developer, you will utilize your software and systems engineering background to build and run large-scale, distributed,…
Added 11 days ago
Principal Engineer
Enercare
Markham, ON
Experience across a variety of tech stacks (Java, React, Python, JavaScript, C#, etc.).
Added 11 days ago
E
GenFX Lead
Eyeline
Vancouver, BC
- $132,000 to $170,000 CAD / year
- Full-time
Python proficiency for automating ComfyUI workflows, writing Nuke gizmos or bridging tool APIs (preferred)
Added 11 days ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Strong scripting or programming skills in Python, Bash, PowerShell, Go, or similar.
Added 11 days ago
A
GIS Analyst
AtkinsRéalis
Montreal, QC
- Full-time
Knowledge of FME, Python, ModelBuilder, or other automation tools is considered an asset.
Added 11 days ago
A
GIS Technician
AtkinsRéalis
Montreal, QC
- Full-time
Knowledge of FME, Python, or automated quality-control processes is considered an asset.
Added 11 days ago
CI
Program Specialist, Digital Solutions
Canadian Institute for Health Information (CIHI)
ON · Ontario, Canada
- Contract
Experience using R or Python for data manipulation and analysis is an asset.
Added 11 days ago
L
Automation QA Developer
Lumicity
Montreal, QC
- Full-time
Lumicity have partnered with a growing Semiconductor company to help source an Automation QA Developer for their team in Montreal, QC.
Added 11 days ago
A
GIS Technician
AtkinsRéalis
Montreal, QC
- Full-time
Knowledge of FME, Python, or tools for automating conversions and quality control is considered an asset.
Added 11 days ago
P
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
- Full-time
Strong scripting or programming skills in Python, Bash, PowerShell, Go, or similar.
Added 11 days ago
RB
Senior Manager, Data Security Automations & Engineering (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
Advanced proficiency in programming languages such as Python, with knowledge in R, C#, JavaScript, and HTML & CSS and Strong understanding of relational databases (MsSQL, PostgreSQL) and…
Added 11 days ago
S
Business Analyst
Skiffra
Quebec, QC
- Full-time
Quantify the value at stake and turn your analysis into a working tool: a dashboard, data pipeline, or workflow app, built in SQL, Python, and a BI or low-code layer.
Added 11 days ago
E
GenFX Supervisor
Eyeline
Vancouver, BC
- $195,000 to $270,000 CAD / year
- Full-time
Python proficiency for automating ComfyUI workflows or writing custom Nuke gizmos and tools (preferred)
Added 11 days ago
Engineering - Software Engineer
Grote Industries
Waterloo, ON
4+ years’ experience with Programming Language such as C, C++, Java, Python, etc.
Added 12 days ago
CG
SecOps Engineer
CSC Generation
Toronto, ON
- Full-time
Solid software engineering skills - comfortable writing production-quality code (Python, Go, or similar) to build tools, not just configure existing ones.

Bombardier

AI Solution Architect

Dorval, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 22, 2026
Experience: You possess over 3 years of experience defining solution or platform architectures while remaining hands-on with software design, coding, debugging, and technical delivery.
Posting language: English
Posted: Sep 22, 2026

Original job description

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Bombardier’s Benefits Program

With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Position Overview

As the AI Solution Architect, you will have the mandate to support the solution architecture for the shared AI foundations that power intelligent applications and agents across Bombardier. You will upgrade the enterprise context layer while establishing MLOps and AI engineering practices at scale. This is a senior, hands-on solutioning role: you will set direction, create reference implementations, review designs, and work directly in codebases to resolve complex technical issues and unblock delivery teams.

What are your contributions to the team?

Own the target solution architecture, roadmaps, ensuring standards and reusable patterns are applied for the enterprise AI context layer that powers agents and AI-enabled applications.
Design how agents securely access and combine enterprise data, documents, APIs, semantic models, vector indexes, knowledge graphs, ontologies, memory, tools, and identity-aware context.
Implement reference architectures and implementation patterns for retrieval-augmented generation (RAG), GraphRAG, semantic search, context engineering, agent orchestration, tool use, and human-in-the-loop controls in collaboration with the Domain Architect.
Define and Implement the enterprise approach to MLOps and GenAIOps, including source control, automated testing, evaluation, model and prompt versioning, CI/CD, deployment promotion, monitoring, observability, rollback, and production support.
Create and maintain architecture decision records, technical standards, reusable components, starter repositories, APIs, and sample implementations that accelerate delivery across teams, and, present the decisions at the various enterprise architecture forums.
Remain hands-on in Python, TypeScript, C#, .NET, SQL, or equivalent enterprise technologies; diagnose difficult issues, review code, build targeted proofs of concept, and help teams unblock programming challenges.
Guide solution development teams from experimentation to secure, scalable, supportable, and cost-conscious production implementations.
Partner with domain architecture, cybersecurity, data governance, platform engineering, cloud, application teams, and business stakeholders to align solutions with enterprise standards and regulatory obligations.
Define quality gates and non-functional requirements for reliability, performance, privacy, security, resilience, interoperability, maintainability, and responsible AI.
Support evaluation of technologies and vendors, guide build-versus-buy recommendations, and translate emerging capabilities into pragmatic enterprise patterns.
Mentor developers, lead technical design reviews, and raise engineering capability through coaching, documentation, and communities of practice.
Communicate complex architecture decisions clearly to technical teams, leadership, and business stakeholders, including trade-offs, dependencies, risks, and implementation paths.

How to thrive in this role?

You hold a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, Artificial Intelligence, or a related field.
You have more than 8 years of professional experience in software engineering, cloud architecture, solution architecture, data platforms, or AI/ML, including significant experience with production-grade enterprise systems.
You possess over 3 years of experience defining solution or platform architectures while remaining hands-on with software design, coding, debugging, and technical delivery.
You hold strong programming proficiency in Python and at least one additional enterprise language such as TypeScript, C#, Java, or .NET.
You have proven experience implementing MLOps, DevOps, or GenAIOps practices at scale using Git, automated testing, CI/CD, infrastructure as code, monitoring, and release governance.
You possess experience designing AI-enabled applications leveraging LLMs, RAG, agents, vector search, model evaluation, prompt orchestration, and responsible AI controls.
You have strong knowledge of enterprise data integration and context engineering, including APIs, event-driven architectures, relational and NoSQL databases, metadata, semantic models, and document repositories.
You have experience building, querying, or maintaining production knowledge graphs and ontologies using technologies such as RDF, OWL, SKOS, SHACL, SPARQL, Cypher, Gremlin, R2RML, or equivalent approaches.
You possess hands-on experience with Microsoft Azure and Azure DevOps, along with familiarity with Azure AI Services, Azure OpenAI, Microsoft Graph, Databricks, or similar enterprise platforms.
You have a strong understanding of secure software development, identity and access management, authorization, secrets management, data protection, logging, observability, resilience, and production support.
You have the ability to structure ambiguous technical challenges, make sound architectural decisions, and balance strategic objectives with practical delivery constraints.
You possess excellent communication, facilitation, and mentoring skills, enabling you to influence stakeholders across architecture, engineering, data, security, operations, and business functions.
You have the ability to communicate effectively in both French and English within a business environment.

Now that you can see yourself in this role, apply and join the Bombardier Team!

Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.

Job AI Solution Architect

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 15642 AI Solution Architect

Apply About employer

More about this job

Responsibilities

The AI Solution Architect will design and implement shared AI foundations, including MLOps practices and enterprise context layers. They will provide hands-on technical leadership to resolve complex issues and guide teams in building scalable, secure AI-enabled applications.

Requirements

Candidates must have over 8 years of professional experience in software engineering or AI/ML, with at least 3 years in solution architecture. Proficiency in Python and additional enterprise languages like C# or TypeScript is required, along with experience in cloud platforms and AI technologies.

Skills

Solution architecture
AI engineering
MLOps
GenAIOps
Python
TypeScript
C#
.NET
SQL
Retrieval-augmented generation
Knowledge graphs
Azure
Azure DevOps
Cloud architecture
Data platforms
Software engineering

Benefits

Dental insurance
Medical insurance
Life insurance
Disability insurance
Retirement savings plan
Employee assistance program
Tele health program

Visa sponsorship

Not detected in the job text

Keywords

AI Solution Architect
MLOps
GenAIOps
Python
TypeScript
C#
.NET
SQL
Azure
Azure DevOps
Retrieval-augmented generation
GraphRAG
Knowledge graphs
Ontologies
Cloud architecture
Data governance
Cybersecurity
CI/CD
Infrastructure as code
Semantic search
Prompt engineering
API
Databricks
Software engineering
Enterprise architecture
Machine learning
Artificial intelligence
Identity management
Observability
Resilience

Report this job