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ICAOInternational Civil Aviation Organization
Job opening

Senior AI Engineer, ICT

LevelOthers
LocationMontreal, Qc, Canada
Application period2026-10-22 / 2026-11-06
Work arrangementOn-site / Duty station

Organizational Context

The International Civil Aviation Organization (ICAO) sets international Standards and Recommended Practices (SARPs) for aviation safety, air navigation, security and environmental protection. 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. Within IMS, the Senior AI Engineer supports the design, development, deployment and continuous improvement of the Organization’s artificial intelligence solutions.

Job Purpose

To design, develop, deploy, and continuously improve the Organization's artificial intelligence solutions, focusing on generative AI, retrieval-augmented generation, and multi-agent systems, ensuring responsible adoption in line with organizational requirements.

Responsibilities

Develops and enhances enterprise AI solutions using C#/.NET and Microsoft Azure AI services, including generative AI and retrieval-augmented generation. Implements automated pipelines for testing and deployment, monitors production solutions, and supports responsible AI practices. Assesses AI use cases and provides technical guidance.

Work Experience

A minimum of eight years of progressively responsible experience in software engineering, data science or artificial intelligence, including at least two years designing and delivering generative AI solutions in production environments. Experience with Microsoft Azure, C#/.NET, Python, and AI evaluation frameworks is required.

Skills

Generative AI, large language models, prompt and context engineering, retrieval-augmented generation, vector search, AI agents, systematic evaluation (RAGAS), Microsoft Azure AI services, C#/.NET, Python, containerization, source control, CI/CD, production monitoring, .NET AI orchestration frameworks (e.g., Semantic Kernel), data governance, privacy, cybersecurity, responsible AI.

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