AI Engineer

Who We ArePLATO is Canada’s largest Indigenous-owned software testing and technology services company.

• Who We Are
• PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with.
• Our 100% Canada‑based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge‑sharing.
• As Canada’s largest Indigenous‑owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact.
• Contract Duration: Jan 01 2027 to Jun 15 2027
• Security Clearance: Reliability or higher is required at time of application
• Summary
• We are seeking an experienced AI Engineer with 5+ years of experience designing, developing, and deploying enterprise-grade Artificial Intelligence and Generative AI solutions using the Microsoft technology stack. The successful candidate will be responsible for building scalable AI platforms, integrating machine learning and large language model (LLM) capabilities into business solutions, and implementing MLOps/LLMOps practices to support production-ready AI services.
• Responsibilities
• Design, develop, deploy, and support enterprise-grade AI, machine learning, and advanced analytics solutions.
• Build and integrate AI-powered applications using Azure AI Services, AzureOpenAI Service, Azure Machine Learning, and other Microsoft AI technologies.
• Develop and operationalize Generative AI solutions, including large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), semantic search, and vector search capabilities.
• Design and implement scalable AI platforms and cloud-native solutions using Microsoft Fabric and Microsoft Azure technologies.
• Develop AI and machine learning applications using Python, machine learning frameworks, APIs, and REST-based services.
• Implement and manage MLOps and LLMOps practices, including automated deployment pipelines, model lifecycle management, monitoring, testing, and continuous improvement.
• Utilize Azure DevOps, GitHub, MLflow, and CI/CD pipelines to support the development, deployment, and operationalization of AI solutions.
• Collaborate with business and technical stakeholders to integrate AI and machine learning capabilities into enterprise applications and business processes.
• Design and implement secure, scalable, and reliable AI solutions aligned with organizational architecture and technology standards.
• Apply Responsible AI principles and support governance, compliance, security, and risk management requirements across AI solutions.
• Requirements
• Minimum 5 years of experience delivering Artificial Intelligence, Machine Learning, Advanced Analytics, Data Science, or related technology solutions.
• Strong expertise in Azure AI services, machine learning engineering, cloud-native architectures, and Responsible AI practices .
• Strong experience in machine learning , agentic AI , model training, prompting techniques, and the development and optimization of modern AI models and multi-model AI systems.
• Proven expertise in AI solution architecture , including the design and implementation of scalable, secure, and cloud-native AI solutions.
• Hands-on experience developing and deploying Generative AI and LLM-based applications, including prompt engineering, RAG architectures, semantic search, and vector search solutions.
• Experience implementing and managing MLOps and LLMOps practices, including CI/CD automation, model monitoring, model governance, and lifecycle management.
• Strong experience with Azure AI Services, AzureOpenAI Service, Azure Machine Le