AI Engineer
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Aug 7, 2026.
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, Azure OpenAI 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, Azure OpenAI Service, Azure Machine Learning, Microsoft Fabric, and Azure cloud technologies.
Proficiency in Python, machine learning frameworks, API development, REST services, and AI application development.
Experience designing and implementing enterprise integrations, APIs, and AI-enabled business applications.
Strong understanding of data engineering, analytics platforms, and AI-ready data architectures.
Knowledge of security, governance, compliance requirements, and Responsible AI principles within enterprise environments.
Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate business requirements into effective AI solutions.
Work With Us
At PLATO, we believe that great work happens when people feel supported, connected, and challenged in the right ways. You’ll be part of a collaborative environment where experienced professionals share knowledge, mentor others, and contribute to solving complex, real-world client projects.
We are committed to inclusive hiring practices and encourage applications from individuals of all backgrounds, including women, persons with disabilities, visible minorities, and Indigenous peoples. If you require accommodation at any stage of the recruitment process, we’re here to support you.
PLATO respectfully acknowledges that we operate on treaty territories, unceded First Nations and Inuit territories, and within Métis homelands. We honour the long history of these lands and actively work toward reconciliation between Indigenous and non-Indigenous peoples on Turtle Island.