Senior Cloud Platform Developer

Priority may be given to the following designated employment equity groups: women, Indigenous peoples
* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*. The Employment Equity Act , which is under review, uses the terminology Aboriginal peoples and visible minorities. Organizational Unit: Construction Language

Requirements:
English Work Arrangements: Due to the nature of the work and operational requirements, this position is eligible for a hybrid work arrangement (combination of working onsite and telework). At NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Anything is possible at the NRC, named in 2026 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. We are looking for a creative and detail-oriented Senior AI Developer to join our Information Systems Unit. In this role, the incumbent will contribute to the design, deployment and enhancement of AI solutions that contribute to digital capabilities of the Canadian construction sector, including digitalized construction codes, specifications and product data, as well as a common data framework. The Senior AI Developer would be someone who shares our core values of Integrity, Excellence, Respect and Creativity. As an experienced AI developer, you will apply your expertise in data science, generative AI, machine learning and Natural Language Process to help the NRC Construction Research Centre to digitalize, integrate and unify structured and semi-structured data as part of the development and implementation of modernized applications and platforms. You will work closely with research and regulatory teams, project teams and external digital construction domain experts to create data, cloud platform and AI solutions as part of IT modernization and construction sector digitalization initiatives. Analyse requirements and translate them into AI-based solutions; document findings and recommend approaches in collaboration with NRC and external AI, digitalization and construction sector experts. Design, develop, test, implement, and maintain AI tools and agents. Contribute to the preparation of technical documentation, including data models, architecture patterns, Concept of Operations, and user guides. Participate in the selection, installation, configuration, testing, and modification of AI development tools and frameworks; ensure compliance with programming and ethical AI standards. Work with NRC and external AI specialists to design and adapt AI solutions to advance digital construction capabilities, such as the digitalization of construction codes. Participate in project teams and working groups composed of Information Systems Unit team members, management and subject matter experts to define use cases, requirements, target-state designs and implementation plans for emerging digital construction capabilities. Support knowledge transfer and capacity building by documenting best practices, developing training materials, and mentoring team members on data architecture principles and digital construction technologies. Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates: Bachelor degree in Computer Science or a related discipline from a recognized University or a Technical College diploma in Computer Science or a related field. Significant and recent experience in designing, developing and deploying AI solutions using Natural Language Processing and Large Language Models. Significant and recent experience in designing, developing and implementing data and Retrieval Augmented Generation solutions. Experience in developing AI software solutions, using modern programming languages, frameworks, and software development tools. The following may be considered as Assets: Experience designing and implementing AI Agent solutions. Experience applying or integrating knowledge graph–driven data into AI workflows. Experience with Azure DevOps Repos and Pipelines (or similar version control and CI/CD tools). Language requirements English Information on language requirements and self-assessment tests Technical competencies Advanced knowledge of Machine Learning, Natural Language Processing and Large Language Models technologies. Advance knowledge of modern programming languages, and software development principles and practices for designing and implementing AI solutions. Advanced knowledge of data and Retrieval Augmented Generation pi