Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.

Job Title: AI Technical Lead

Location: Remote (Canada)

Client: Public Sector

Pay Rate: CAD 90- 110/Hour + HST

Key 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 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 into 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, defect analysis and other engineering activities

Explore opportunities to improve DevOps and software deployment processes through AI-assisted automation

Establish reusable technical approaches, patterns and components to enable successful experiments to 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

Education and Certifications

University degree or college diploma in computer science, software engineering, information technology or engineering

Professional training or certification in one or more relevant areas, including Microsoft Azure, Power Platform, Dynamics 365, Artificial Intelligence (AI), cloud architecture, or software development

Any 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 workplace A 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 processes A 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 technologies





Demonstrated experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other application integration technologies

Demonstrated 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 stakeholders

Demonstrated 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 monitoring

Technical 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 capabilities

Demonstrated ability to develop and integrate cloud-based applications and solutions using Microsoft Azure and related Azure services

Demonstrated ability to develop and integrate solutions using Microsoft Dynamics 365 and/or Power Platform, including application development or integration with external systems

Demonstrated knowledge of Modern software engineering practices, including source control, automated testing, CI/CD and DevOps

Demonstrated ability to apply AI-assisted software development tools and techniques, such as GitHub Copilot or equivalent technologies

Demonstrated knowledge of Enterprise solution architecture considerations, including security, privacy, reliability, maintainability and supportability

📌 Technical Lead (Winnipeg)
🏢 Russell Tobin
📍 Winnipeg