AI Technical Lead

Mindwire Systems Ltd; United States; Remote; CAD 96,000 - 179,000; Full time

Job summary

Mindwire Systems Ltd. is seeking an experienced AI Technical Lead contractor to guide AI strategy and delivery for a public sector client. The role is a 3-year engagement with fully remote work options.

You will lead design and integration of AI-enabled solutions with Dynamics 365, Power Platform, Azure, and API-based architectures, mentor teams, and evaluate new AI technologies for practical use across the software delivery lifecycle.

Qualifications

• University degree in computer science, software engineering, information technology or engineering.
• Professional training or certification in Microsoft Azure, Power Platform, Dynamics 365, AI, cloud architecture, or software development.
• 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 AI or generative AI capabilities into applications.
• A minimum of three (3) years of recent demonstrated work experience with Microsoft cloud or application technologies, including Azure, Dynamics 365, Power Platform or related Microsoft development technologies.
• Demonstrated experience designing or integrating solutions using REST APIs, SDKs, cloud services, or other integration technologies.
• Demonstrated experience working within a multidisciplinary Agile/Scrum team and providing technical leadership, knowledge transfer to developers, testers, architects, product owners.
• Demonstrated experience applying automation and AI-enabled tools to improve aspects of the software development lifecycle.

Responsibilities

• Provide subject matter expertise to support AI adoption and improve software development, testing, deployment and support.
• Design and develop AI-enabled solutions that integrate with Dynamics 365, Power Platform, Azure and API-based architectures.
• Prototype and evaluate emerging AI technologies and apply them to practical use cases for the Scrum team.
• Explore generative AI, AI agents, and AI-assisted development tools within software engineering workflows.
• Identify opportunities to apply AI to testing and quality engineering, including test design, automation and defect analysis.
• Improve DevOps and deployment processes through AI-assisted automation.
• Establish reusable technical approaches and components for consistent adoption across applications.
• Collaborate with developers, testers, architects, product owners and stakeholders to ensure AI solutions integrate with existing practices.
• Support architecture, security, privacy, reliability and maintainability assessments before production.
• Provide technical guidance and knowledge transfer to strengthen the team’s AI capabilities.
• Monitor AI developments and recommend technologies to enhance applications and delivery processes.
• Related activities and deliverables as required.

Skills

Generative AI

AI integration

REST API integration

Agile/Scrum teamwork

Technical leadership

Education

Bachelor's degree in CS/Software Engineering

Professional Azure/AI certifications

Tools

GitHub Copilot

Azure DevOps

Microsoft Azure

Power Platform

Dynamics 365

REST APIs

Job description

Mindwire is currently looking for an AI Technical Lead contractor to work for our valued public sector client. This is a 3 year contract and can be performed fully remotely.

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
• 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
• 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 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

Mindwire is committed to providing an inclusive and accessible recruitment process. If you require accommodation at any point during the recruitment process, please reach out directly to the job poster or email [e-mail].

We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.