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Added 27 days ago
Senior Data Engineer (DBX)
Munich Re
Toronto, ON
…the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the…
Added 27 days ago
FB
Senior Data Architect
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
…world-class, large-scale cloud data architectures combined with a forward-looking vision for future-proof, AI-native platforms. You will architect bidirectional streaming pipelines, lead…
Added 27 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 27 days ago
TC
Full stack developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 27 days ago
B
AI Solution Architect
Bombardier
Dorval, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 27 days ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
…Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational…
Added 27 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 27 days ago
Principal Engineer
Enercare
Markham, ON
Lead with Heart: Mentor and inspire our talented team of engineers, helping them grow while fostering a collaborative and fun environment.
Added 27 days ago
E
GenFX Lead
Eyeline
Vancouver, BC
- $132,000 to $170,000 CAD / year
- Full-time
…across both generative AI and traditional VFX disciplines, with strong problem-solving, mentorship and workflow design…
Added 27 days ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
…compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that…
Added 27 days ago
P
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
- Full-time
…compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that…
Added 27 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 27 days ago
S
Business Analyst
Skiffra
Quebec, QC
- Full-time
Working-level SQL and Python, and comfort with a BI or low-code tool.
Added 27 days ago
E
GenFX Supervisor
Eyeline
Vancouver, BC
- $195,000 to $270,000 CAD / year
- Full-time
Partner with the Pipeline developers and CG Supervisors to ensure GenFX tools complement existing workflows
Added 27 days ago
Engineering - Software Engineer
Grote Industries
Waterloo, ON
4+ years’ experience with Programming Language such as C, C++, Java, Python, etc.
Added 27 days ago
CG
SecOps Engineer
CSC Generation
Toronto, ON
- Full-time
…omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to…
Added 27 days ago
L
Technical QA Manager
Lumerate
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
You balance independent technical problem-solving with collaborative cross-functional teamwork.
Added 27 days ago
Principal AI Engineer - Context - Agents and Context
Elastic
Canada
The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index,…
Added 27 days ago
Technology and AI Manager
Connex Telecommunications Inc.
Hamilton, ON
…setting direction, managing people and projects, communicating with leadership and clients, and contributing directly to technical work when…
Added 27 days ago
G
Data Architect
GIRO
Montreal, QC
- Full-time
Develop data integration solutions using Python, PySpark, Data Factory, Dataflows Gen2 or other appropriate tools.
Added 27 days ago
D
Financial Crime Data Scientist
Desjardins
Montreal, QC
- Full-time
…work at the heart of the FCP ecosystem, in close collaboration with the second line of defence, operations and IT teams, to ensure the performance, compliance and ongoing evolution of the…
Added 27 days ago
Senior Technical Lead
University of Toronto
Toronto, ON
We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and…
Added 27 days ago
L
Senior Python Engineer (AI skills)
Luxoft
Toronto, ON
- Contract
…experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver working solutions with minimal…
Added 27 days ago
TC
Sr. Production Support Analyst
Tata Consultancy Services
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 27 days ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 USD / year
- Full-time
- Experience with Java and/or Python; React is highly valuable

Bombardier

AI Solution Architect

Dorval, QC, Canada

Full-time

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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

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