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AI Technical Lead

OXARO Inc.
Remote, CAN
Contract
Mid-Senior
Remote
Discovered 1 weeks ago
Artificial intelligence integrationGenerative AILarge language modelsMicrosoft AzureMicrosoft Dynamics 365Microsoft Power Platform

Full Job Posting

Role details

Remote AI Technical Lead contract for one year, with an optional one-year extension.

Security clearance requirement: Reliability Status; candidate must be eligible to obtain it.

Responsibilities

  • Guide team adoption of AI to improve software development, testing, deployment, and application support.
  • Design AI-enabled solutions and integrations for applications using Dynamics 365, Power Platform, Azure, and API-based architectures.
  • Prototype and evaluate emerging AI technologies, generative AI, AI agents, and AI-assisted software development tools.
  • Apply AI to testing and quality engineering, including test design, test automation, and defect analysis.
  • Explore AI-assisted automation for DevOps and deployment processes.
  • Create reusable technical patterns and components for adoption across applications.
  • Collaborate with developers, testers, architects, product owners, and stakeholders to integrate solutions into existing engineering practices.
  • Assess architecture, security, privacy, reliability, and maintainability before production deployment.
  • Provide technical guidance and knowledge transfer; monitor AI developments and recommend relevant technologies.

Qualifications

  • At least five years in software development, solution architecture, or technical leadership in enterprise application development.
  • At least two years designing, developing, prototyping, evaluating, or integrating AI or generative AI capabilities.
  • At least three years with Microsoft cloud or application technologies, including Azure, Dynamics 365, Power Platform, or related tools.
  • Experience with REST APIs, SDKs, cloud services, or other application integration technologies.
  • Experience on multidisciplinary Agile/Scrum teams and providing technical leadership, expertise, or knowledge transfer.
  • Experience applying automation or AI-enabled tools across software development, testing, quality engineering, DevOps, deployment, or application support.
  • Hands-on generative AI and large language model capabilities; experience with Azure and Dynamics 365 and/or Power Platform solutions.
  • Knowledge of source control, automated testing, CI/CD, DevOps, and enterprise architecture concerns including security and privacy.
  • University degree or college diploma in computer science, software engineering, information technology, or engineering; relevant professional training or certification is also specified.

Security and recruitment

  • The employer states it does not use AI tools to screen, assess, or select applicants. Applications are reviewed by the recruitment team.

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