Location:
Remote Duration: 1 year, with an optional 1-year extension Security Clearance: Reliability Status Responsibilities
• Provide subject matter expertise to support the team's adoption of Artificial Intelligence, identifying practical ways to enhance software development, testing, deployment, and ongoing application support.
• Design and develop AI-enabled solutions and integrations, including capabilities that complement applications built using Microsoft Dynamics 365, Power Platform, Azure, and API-based architectures.
• Prototype and evaluate emerging AI technologies, and apply promising developments to practical use cases and solutions for the Scrum team.
• Explore the use of generative AI, AI agents, and AI-assisted development tools within software engineering workflows.
• Identify opportunities to apply AI to software testing and quality engineering, including test design, test automation, and defect analysis.
• Explore opportunities to improve DevOps and software deployment processes through AI-assisted automation.
• Establish reusable technical approaches, patterns, and components so that successful experiments can be adopted consistently across applications.
• Collaborate with developers, testers, architects, product owners, and other stakeholders to ensure AI solutions integrate effectively with existing applications and engineering practices.
• Support the assessment of AI solutions from architectural, security, privacy, reliability, and maintainability perspectives before they are introduced into production.
• Provide technical guidance and knowledge transfer to the Scrum team to build and strengthen its AI capabilities.
• Monitor developments in AI and recommend relevant technologies that could enhance applications and software delivery processes. Qualifications
• 5+ years of experience in software development, solution architecture,



or technical leadership within an enterprise application development environment.
• 2+ years of experience designing, developing, prototyping, evaluating, or integrating artificial intelligence or generative AI capabilities into applications or software engineering processes.
• 3+ years of experience with Microsoft cloud or application technologies, including Microsoft Azure, Dynamics 365, Power Platform, or related Microsoft development technologies.
• Experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other application integration technologies.
• Experience working within a multidisciplinary Agile/Scrum software development team, providing technical leadership, subject matter expertise, or knowledge transfer to developers, testers, architects, product owners, or other technical stakeholders.
• Experience applying automation, AI-enabled tools, or emerging technologies across multiple areas of the software development lifecycle, such as development, testing, quality engineering, DevOps, deployment, and application support.
• Hands-on technical capability with generative AI and large language models, including the development, prototyping, evaluation, or integration of AI-enabled capabilities.
• Ability to develop and integrate cloud-based applications and solutions using Microsoft Azure and related Azure services.
• Ability to develop and integrate solutions using Microsoft Dynamics 365 and/or Power Platform,



including application development or integration with external systems.
• Knowledge of modern software engineering practices, including source control, automated testing, CI/CD, and DevOps.
• Ability to apply AI-assisted software development tools and techniques, such as GitHub Copilot or equivalent technologies.
• Knowledge of enterprise solution architecture considerations, including security, privacy, reliability, maintainability, and supportability.
• University degree or college diploma in computer science, software engineering, information technology, or engineering, with skilled training or certification in one or more relevant areas, including Microsoft Azure, Power Platform, Dynamics 365, Artificial Intelligence (AI), cloud architecture, or software development Eligibility to obtain Reliability Status. AI Disclosure: We do not use artificial intelligence (AI) tools to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed by our recruitment team. OXARO is committed to fostering an inclusive, equitable and respectful workplace where every individual feels valued and empowered to contribute their best. We believe that diversity drives innovation and strengthens our ability to serve our clients and communities. We are dedicated to ensuring a fair and unbiased recruitment process and welcome applications from members of the four designated groups under the Employment Equity Act: women, Indigenous peoples, persons with disabilities and members of visible minorities. Accommodations are available upon request for candidates taking part in all aspects of the recruitment process. We sincerely thank all applicants for their interest in this opportunity. While we appreciate every application, only those selected for an interview will be contacted.

📌 AI Technical Lead (Ottawa)
🏢 OXARO
📍 Ottawa