AI Technical Lead

Our client, the Bank of Canada has a 2 year remote contract opportunity for an AI Technical Lead...

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

• Related activities and deliverables, as required

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

Category/Catégorie: Non-Sensitive/Non-Délicat

Technical Requirements

• A minimum of five (5) years of recent demonstrated work experience in software development,

solution architecture, or technical leadership within an enterprise application development

environment

• 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 AIenabled 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