Senior AI Engineer

Job Posting Organization:
The International Civil Aviation Organization (ICAO) is a specialized agency of the United Nations established in 194

• Its mission is to promote the safe and orderly development of international civil aviation throughout the world. ICAO sets international Standards and Recommended Practices (SARPs) for aviation safety, air navigation, security" style="border-bottom: 1px dotted #007bff !important;">security, and environmental protection. The organization is headquartered in Montreal, Canada, and operates in 193 member states, employing over 800 staff members. ICAO is committed to ensuring the provision of high-quality physical and human resources while applying the highest standards of work ethics and conduct to support the global aviation community.

Job Overview:
The Senior AI Engineer position within ICAO's Information Management Services (IMS) function is pivotal in planning, developing, and implementing the organization's information management and digital technology strategy. This role focuses on the design, development, deployment, and continuous improvement of AI solutions, particularly in generative AI, retrieval-augmented generation, and multi-agent systems. The Senior AI Engineer will work closely with various stakeholders, including developers, business owners, and cybersecurity teams, to ensure the responsible adoption of AI technologies in alignment with ICAO's enterprise architecture and ethical standards. The incumbent will be responsible for delivering high-quality AI solutions that meet both functional and non-functional requirements while adhering to data governance and privacy regulations.

Duties and Responsibilities:
The Senior AI Engineer will have a comprehensive set of responsibilities, including:

• Developing and enhancing enterprise AI solutions by implementing AI solutions according to established architectures and technical specifications. This includes designing and optimizing generative AI solutions in C#/.NET and utilizing Microsoft Azure AI services.
• Strengthening the quality and reliability of production AI services by implementing automated testing and deployment pipelines, defining measurable quality criteria, and conducting systematic evaluations. The engineer will monitor production solutions for issues such as hallucination and bias, and will maintain technical documentation and support materials.
• Supporting responsible AI practices by assessing proposed AI use cases and implementing controls for human oversight, transparency, and fairness. The engineer will also communicate AI capabilities and limitations to stakeholders.
• Building team capability through collaboration with multidisciplinary teams, participating in design and code reviews, and promoting knowledge sharing and reusable engineering practices. The engineer will also develop technical guidance and demonstrations for responsible AI use.

Required Qualifications:
Candidates must possess a first-level university degree in artificial intelligence, computer science, data science, machine learning, software engineering, mathematics, statistics, or a related field, along with additional qualifying experience. An advanced university degree (Master’s or equivalent) in a relevant field is desirable, as well as relevant professional certifications in cloud architecture, AI engineering, machine learning, or information security. Training in responsible AI, privacy engineering, or secure software development is also beneficial. Microsoft Certified: Azure AI Engineer Associate certification is a plus.

Educational Background:
The educational background required for this position includes a first-level university degree in a relevant field such as artificial intelligence, computer science, data science, machine learning, software engineering, mathematics, or statistics. An advanced degree is preferred, along with certifications in areas related to AI and cloud technologies. Candidates should have a solid foundation in both theoretical and practical aspects of AI and software engineering.

Experience:
A minimum of eight years of progressively responsible experience in software engineering, data science, or artificial intelligence is essential. This includes at least two years of experience in designing and delivering generative AI solutions in production environments. Candidates should have demonstrated experience with generative AI, large language models, and systematic evaluation frameworks. Hands-on experience with Microsoft Azure cloud and AI services, as well as proficiency in C# and .NET for enterprise application development, is required. Experience with Python for AI tooling and evaluation is also necessary.

Languages:
Fluent reading, writing, and speaking abilities in English are essential for this position. A working knowledge of a second language of the Organization, such as Arabic, Chinese, French, Russian, or Spanish, is desirable and would be considered an asset.

Additional Notes:
This consultancy position is initially for a period of twelve months, with the possibility of extension. The daily rate for Band C varies from $402 to $57

• Interested candidates must complete an online application form and provide details about at least two production AI systems they have delivered, including their role and the solution architecture. Shortlisted candidates will undergo a technical assessment covering C#/.NET development and RAG solution design and evaluation. ICAO does not charge any fees during the selection process and advises candidates to disregard any fraudulent requests for money.