Technical Lead

Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.Job Title: AI Technical LeadLocation: Remote (Canada)Client: Public SectorPay Rate: CAD 90- 110/Hour + HSTKey Responsibilities:
Provide subject matter expertise to support the team’s adoption of Artificial Intelligence (AI), identifying practical ways to enhance software development, testing, deployment and ongoing application supportDesign and develop AI-enabled solutions and integrations, including capabilities that complement applications built using Microsoft Dynamics 365, Power Platform, Azure and API-based architecturesPrototype and evaluate emerging AI technologies, and apply promising developments into practical use cases and solutions for the Scrum teamExplore the use of generative AI, AI agents and AI-assisted development tools within software engineering workflowsIdentify opportunities to apply AI to software testing and quality engineering, including test design, test automation, defect analysis and other engineering activitiesExplore opportunities to improve DevOps and software deployment processes through AI-assisted automationEstablish reusable technical approaches, patterns and components to enable successful experiments to be adopted consistently across applicationsCollaborate with developers, testers, architects, product owners and other stakeholders to ensure AI solutions integrate effectively with existing applications and engineering practicesSupport the assessment of AI solutions from architectural, security, privacy, reliability and maintainability perspectives before they are introduced into productionProvide technical guidance and knowledge transfer to the Scrum team to build and strengthen its AI capabilitiesMonitor developments in AI and recommend relevant technologies that could enhance applications and software delivery processesEducation and Certifications
University degree or college diploma in computer science, software engineering, information technology or engineeringProfessional training or certification in one or more relevant areas, including Microsoft Azure, Power Platform, Dynamics 365, Artificial Intelligence (AI), cloud architecture, or software developmentAny security clearance holder would be a plus.A minimum of five (5) years of recent demonstrated work experience in software development, solution architecture, or technical leadership within an enterprise application development environmentA minimum of two (2) years of recent demonstrated work experience designing, developing, prototyping, evaluating, or integrating artificial intelligence or generative AI capabilities into applications or software engineering processesA minimum of three (3) years of recent demonstrated work experience with Microsoft cloud or application technologies, including Microsoft Azure, Dynamics 365, Power Platform, or related Microsoft development technologiesDemonstrated experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other application integration technologiesDemonstrated experience working within a multidisciplinary Agile/Scrum software development team and providing technical leadership, subject matter expertise, or knowledge transfer to developers, testers, architects, product owners, or other technical stakeholdersDemonstrated experience applying automation, AI-enabled tools, or emerging technologies to improve at least two (2) areas of the software development lifecycle, such as software development, testing, quality engineering, DevOps, deployment, application support, or operational monitoringTechnical Skills
Demonstrated technical knowledge and hands-on capability with Generative AI and large language models, including the development, prototyping, evaluation, or integration of AI-enabled capabilitiesDemonstrated ability to develop and integrate cloud-based applications and solutions using Microsoft Azure and related Azure servicesDemonstrated ability to develop and integrate solutions using Microsoft Dynamics 365 and/or Power Platform, including application development or integration with external systemsDemonstrated knowledge of Modern software engineering practices, including source control, automated testing, CI/CD and DevOpsDemonstrated ability to apply AI-assisted software development tools and techniques, such as GitHub Copilot or equivalent technologiesDemonstrated knowledge of Enterprise solution architecture considerations, including security, privacy, reliability, maintainability and supportability
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