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Added 10 mins ago
W
Senior Mechanical Engineer - Mining, Minerals, Metals
Worley
Oakville, ON
- Full-time
We are currently recruiting for a Senior Mechanical Engineer - MMM. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Oakville, Ontario.
Added 10 mins ago
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Network Engineer
Nutrien
Calgary, AB
- Full-time
Lead the support and continuous improvement of global core network services, including backbone, data center, shared services, and Cisco Unified Communications Manager (CUCM) environments,…
Added 10 mins ago
EO
Plant Engineer
Evonik Oxeno
Burnaby, BC
- Full-time
$70,200 – $93,600 per year (salary to be determined by education, experience, knowledge, skills and abilities of applicant, internal equity, and alignment with market data)
Added 10 mins ago
I
Equipment Engineer (Semiconductor & Photonic)
Inpho
Halifax, NS
- Full-time
We are seeking an Equipment Engineer to sustain, optimize, and expand a diverse suite of manufacturing and test equipment used in semiconductor and photonic device production. This role…
Added 15 mins ago
VC
Senior Account Director
Veritas Communications
Lasalle, ON
- Full-time
At Veritas, we don’t just tell stories, we engineer influence. We move at the speed of culture, powered by insight, creativity, and a relentless commitment to earning attention in…
Added 15 mins ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Application Engineer to support, enhance, and develop technology solutions used by our trading, sales, and…
Added 31 mins ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 31 mins ago
SA
Forward Deployed Engineer
STAN AI
Toronto, ON · North York, ON
- $80,000 to $110,000 USD / year
- Full-time
This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation…
Added 1 hour ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
…in our community. We are seeking a dynamic and experienced Data Engineer (Basketball Strategy) reporting to the Assistant General Manager/SVP Basketball Strategy to join our team as of…
Added 1 hour ago
AA
Process Engineer
A-Gas Americas Canada
Dartmouth, NS
- Full-time
Reporting to the Director of Engineering, Americas, the Process Engineer will be the primary engineering resource supporting A-Gas' Dartmouth facility, with additional support to its Stoney…
Added 1 hour ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 hour ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 2 hours ago
T
Engineer I
TD
Toronto, ON
- Full-time
…exposure to capital markets, risk management, and enterprise data platforms. The ideal candidate is a strong team player who is eager to learn, solve complex technical problems, and…
Added 2 hours ago
M
Senior Software Engineer
Mastercard
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer who thrives on solving complex technical problems, takes ownership of outcomes, and enjoys building production-grade software that operates at…
Added 2 hours ago
E
Tests and Validations Specialists
EERS
Montreal, QC
- Full-time
…of product design. Reporting to the Senior Hardware Design Engineer, and under supervision of the EMC specialist, we expect them to perform a variety of tasks ranging from design to…
Added 3 hours ago
CG
Systems Engineer ( Data Center)
Calian Group
Ottawa, ON
- Full-time
We are looking for a Systems Engineer (Data Center) who will use their expertise in enterprise infrastructure and data center technologies to help solve complex business challenges. In this…
Added 3 hours ago
J
AI Engineer, Mid Level
Jobright.ai
Canada
- Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 3 hours ago
L
Data Engineer
Luxoft
Canada
- Full-time
…PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean schemas, reliability and…
Added 3 hours ago
K
Welder/Fitter
Kinectrics
Toronto, ON
- Full-time
…and CSA codes, Company's Welding Procedure Specifications and Quality Control…
Added 4 hours ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Data governance controls: Data quality frameworks, source-to-target reconciliation, lineage concepts and tooling, purge/retention strategies.
Added 4 hours ago
S
Principal Research Scientist
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
W
Senior Mechanical Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Senior Mechanical Engineer MMM. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Vancouver, British…
Added 4 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…engineering processes while maintaining accountability for the quality and reliability of our work. We use prototypes and experiments to test ideas and use data and customer feedback to…
Added 4 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…engineering processes while maintaining accountability for the quality and reliability of our work. We use prototypes and experiments to test ideas and use data and customer feedback to…
Added 4 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning…

ICAO

Senior AI Engineer, ICT

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 5, 2026
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.

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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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