Jobs in Canada

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Added 18 days ago
L
Senior Back-End Engineer
LotusFlare
Toronto, ON
- Full-time
…eSIM solutions. Nomad gives travellers fast, affordable mobile data in 200+ destinations worldwide, all through a seamless iOS, Android, or web…
Added 18 days ago
HO
AI Engineer
Hydro One
Toronto, ON
- $80 to $88 CAD / hour
- Contract
At Hydro One, we are scaling our Data & AI Marketplace to deliver enterprise-grade AI solutions that drive measurable business impact.
Added 18 days ago
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Senior Application Security Engineer
Nutrien
Calgary, AB
- Full-time
Partner with engineering and DevOps teams to evaluate, implement, and optimize vulnerability management capabilities across people, process, and technology
Added 18 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 18 days ago
I
Senior AI Engineer, ICT
ICAO
Montreal, QC
- Full-time
A first-level university degree in artificial intelligence, computer science, data science, machine learning, software engineering, mathematics, statistics or a related field in combination…
Added 18 days ago
F/
Data Analyst, Data Solutions & Development
FCC / FAC
Surrey, BC
- Full-time
In this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare…
Added 18 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week
Added 18 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week
Added 18 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Remote, Canada
- $112,006 to $149,341 CAD / year
- Full-time
- Remote
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week
Added 18 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 18 days ago
UH
Business Analyst, Transformation and Innovation
University Health Network
Toronto, ON
- Full-time
Use data analysis and visualization tools (e.g., SQL, Python, Power BI, Tableau) to communicate findings
Added 18 days ago
UH
Postdoctoral Researcher
University Health Network
Toronto, ON
- Full-time
Develop and optimize pipelines to generate patient-specific probabilistic predictions from MRI data
Added 18 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
…responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling…
Added 18 days ago
Strategic Pricing Analyst, New Grad Opportunity, (12 months contract)
Siemens
Oakville, ON
Proficiency in Microsoft Excel and Python (or similar coding experience), with the ability to organize data and communicate findings effectively.
Added 18 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Mississauga, ON
- $92,740 to $123,375 CAD / year
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 18 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Implement ETL/ELT flows via Big Data Solutions i.e., Spark, Python, Azure Data Factory, Azure Synapse, Azure, Databricks, etc.
Added 18 days ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 18 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Calgary, AB
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 18 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application…
Added 18 days ago
C
Machine Learning Engineer Co-op
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 18 days ago
IC
Dotnet Developer
Infotek Consulting Inc.
Toronto, ON
- Contract
Work Arrangement: Hybrid – 1 day per week in office
Added 18 days ago
ET
Python Developer
Envision Technology Solutions
Toronto, ON
- Full-time
Partner with engineering, product, operations, and compliance teams to translate business needs into clear, actionable technical requirements and specifications.
Added 18 days ago
B
Vice President, Geosciences
Brunel
Vancouver, BC
- $220,000 to $260,000 CAD / year
- Full-time
…lead a multidisciplinary team of geophysicists, geoscientists, data scientists and technical analysts. This senior leadership position will oversee the delivery of high-quality subsurface…
Added 18 days ago
A
Data Engineer - (Pyspark & Python)
Apptad
Montreal, QC
- Contract
We are seeking a skilled Senior Data Engineer with 5 to 7 years of experience specializing in Python and PySpark. In this role, you will design, build, and optimize robust data pipelines…
Added 18 days ago
S
AI Software Developer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
Work Arrangement: Hybrid, approximately 3 days per week in office

ICAO

Senior AI Engineer, ICT

Montreal, QC, Canada

Full-time

Apply on estm.fa.em2.oraclecloud.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 22, 2026

Original job description

The Organizational Setting

The International Civil Aviation Organization (ICAO) sets international Standards and Recommended Practices (SARPs) for aviation safety, air navigation, security and environmental protection. To that effect, ICAO is a knowledge-based organization engaged in the development of intellectual property.

The Bureau of Administration and Services (ADB) plays a lead role in the effective and efficient administrative management of the Organization by ensuring the provision of high-quality physical and human resources, by applying the highest standards of work ethics and conduct, and by using results based management skills and tools to support the Organization in implementing its Strategic Objectives, in order to serve all stakeholders of the world aviation community.

The Information Management Services (IMS) function is responsible for planning, developing and implementing the Organization’s information management and digital technology strategy, establishing common ICT standards, and enabling secure, reliable and innovative digital services across Headquarters and Regional Offices.

Within IMS, the Senior AI Engineer supports the design, development, deployment and continuous improvement of the Organization’s artificial intelligence solutions, with a focus on generative AI, retrieval-augmented generation and multi-agent systems built on Microsoft Azure and .NET. The role contributes to the responsible adoption of AI in accordance with the Organization’s enterprise architecture, data governance, privacy, cybersecurity and ethical requirements.

The incumbent works under the technical direction of the AI Architecture Focal Point, who sets solution architecture and technical standards, assigns technical priorities and reviews deliverables, and under the administrative supervision of the responsible Business Applications Lead. The incumbent works closely with developers, business owners, cybersecurity and data management stakeholders.

Major duties and Responsibilities

Function 1 (incl. expected results)

Develops and enhances enterprise AI solutions, achieving results such as:

Implement AI solutions in accordance with the architectures, technical specifications and standards defined by the AI Architecture Focal Point.
Design, develop and optimize generative-AI solutions in C#/.NET, including retrieval-augmented generation, AI agents and multi-agent workflows, using Microsoft Azure AI services, with Python used for supporting tooling, prototyping and evaluation where appropriate.
Build reusable components, application programming interfaces and integration patterns for enterprise platforms and data sources.
Compare models, prompts, retrieval strategies and configuration options for accuracy, cost, performance and maintainability, and present findings to inform technical decisions.
Apply established coding, documentation, testing and version-control practices.
Deliver prototypes and production-ready enhancements that meet approved functional and non-functional requirements.

Function 2 (incl. expected results)

Strengthens the quality and reliability of production AI services, achieving results such as:

Implement automated pipelines for testing and deployment of AI applications.
Define measurable quality criteria and conduct systematic evaluations using RAGAS or equivalent .NET-native evaluation frameworks, covering faithfulness, answer relevance, context precision and recall, latency, cost and user outcomes.
Monitor production solutions for hallucination, bias, misuse, security vulnerabilities and service degradation, and implement corrective measures.
Apply data protection, access control, logging, auditability, resilience and secure-development requirements throughout the AI lifecycle.
Maintain technical documentation, evaluation evidence, operating procedures and support handover materials.
Support incident analysis, troubleshooting, performance tuning and continuous improvement of deployed AI services.

Function 3 (incl. expected results)

Supports responsible AI practices and technical assessments, achieving results such as:

Assess proposed AI use cases, datasets and cloud services for feasibility, risk and fit, and provide evidence-based recommendations to the AI Architecture Focal Point.
Implement human oversight, transparency, explainability and fairness controls in AI solutions.
Explain AI capabilities, limitations, risks and trade-offs to technical and non-technical stakeholders in clear and practical terms.
Remain current with relevant AI research, standards, regulation and industry practices, and assess their applicability to the Organization’s AI solutions.

Function 4 (incl. expected results)

Builds team capability and performs other related duties, achieving results such as:

Collaborate with developers, analysts and multidisciplinary teams, participate in design and code reviews, and promote knowledge sharing and reusable engineering practices.
Develop technical guidance and demonstrations that enable informed and responsible use of AI.
Perform other related duties, as assigned.

Qualifications and Experience

Education

Essential

A first-level university degree in artificial intelligence, computer science, data science, machine learning, software engineering, mathematics, statistics or a related field in combination with additional qualifying experience.

Desirable

Advanced university degree (Master’s degree or academic equivalent) in artificial intelligence, computer science, data science, machine learning, software engineering, mathematics, statistics or a related field
Relevant professional certification in cloud architecture, AI engineering, machine learning, data engineering or information security.
Training or certification in responsible AI, privacy engineering, secure software development or technology governance.
Microsoft Certified: Azure AI Engineer Associate.

Professional Experience

Essential

A minimum of eight (8) years of progressively responsible experience in software engineering, data science or artificial intelligence, including at least two (2) years designing and delivering generative AI solutions in production environments.
Demonstrated experience with generative AI, large language models, prompt and context engineering, retrieval-augmented generation, vector search, AI agents and systematic evaluation, including RAG evaluation frameworks such as RAGAS or equivalent.
Hands-on experience with Microsoft Azure cloud and AI services, containerization, source control, continuous integration and deployment, and production monitoring.
Strong proficiency in C# and .NET for production development of enterprise applications and AI solutions, including integration with Azure AI services, APIs and SQL Server.
Working knowledge of Python for AI tooling, prototyping, data processing and evaluation, including RAGAS-based evaluation pipelines.
Experience integrating AI solutions with enterprise applications, structured and unstructured data sources, identity services and security controls.
Strong knowledge of data governance, privacy, cybersecurity, responsible AI and the operational risks associated with probabilistic systems.
Demonstrated ability to work effectively within a technical team under established architectural direction, and to communicate clearly with technical and non-technical stakeholders.
Experience with .NET AI orchestration frameworks such as Semantic Kernel or Microsoft Agent Framework.

Languages

Essential

Fluent reading, writing and speaking abilities in English.

Desirable

A working knowledge of a second language of the Organization (Arabic, Chinese, French, Russian, or Spanish).

Conditions of Employment

It should be noted that this consultancy is to be filled for an initial period of twelve (12) months with a possibility of an extension.

Please note that the daily rate for Band C varies from $402 to $578.

How to apply

Interested candidates must complete an on-line application form. To apply, please visit ICAO's e-Recruitment website at: https://careers.icao.int.

Applications must describe at least two production AI systems the candidate has delivered, including the candidate’s role, the solution architecture and how quality was evaluated.

Shortlisted candidates will be required to complete a technical assessment covering C#/.NET development and RAG solution design and evaluation.

Notice to Candidates

ICAO does NOT charge any fees or request money from candidates at any stage of the selection process, nor does it concern itself with bank account details of applicants. Requests of this nature allegedly made on behalf of ICAO are fraudulent and should be disregarded.

Apply on estm.fa.em2.oraclecloud.com About employer

More about this job

Responsibilities

Design, develop, deploy, and improve enterprise AI solutions using C#/.NET, Microsoft Azure, generative AI, retrieval-augmented generation, and agent workflows. Evaluate and monitor production AI services, apply security and responsible AI controls, and collaborate with technical and business stakeholders.

Requirements

Requires a relevant first-level university degree and at least eight years of progressively responsible experience, including two years delivering production generative AI solutions. Candidates need strong C#/.NET and Azure experience, working Python knowledge, expertise in RAG and AI evaluation, and knowledge of enterprise integration, data governance, privacy, cybersecurity, and responsible AI.

Skills

C#
.NET
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Search
AI Agents
Microsoft Azure
Python
RAG Evaluation
Semantic Kernel
Microsoft Agent Framework
SQL Server
Continuous Integration and Deployment
Cybersecurity
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Large Language Models
Retrieval-Augmented Generation
Multi-Agent Systems
C#
.NET
Python
Microsoft Azure
Azure AI Services
Semantic Kernel
Microsoft Agent Framework
RAGAS
Vector Search
SQL Server
Prompt Engineering
Context Engineering
AI Evaluation
Containerization
Continuous Integration and Deployment
Production Monitoring
Data Governance
Privacy Engineering
Cybersecurity
Responsible AI
Human Oversight
Explainability
Fairness
Enterprise Architecture
International Civil Aviation Organization

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Jobs in Canada