AI Engineer

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PLATO

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1997

💼 Consulting

🤝 B2B

🏢 Enterprise

💰 $2M Seed Round - Plato Testing on 2022-05

Consulting • B2B • Enterprise

PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years it has partnered with enterprises to deliver reliable digital products through software testing, quality assurance, risk mitigation, system stability, and user-experience improvements. PLATO operates a 100% Canada-based workforce offering testing services, IT and business consulting, and training programs that include Indigenous-focused recruitment and guaranteed employment to increase Indigenous participation in the tech workforce.

📋 Description

• 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 using LLMs, prompt engineering, RAG, semantic search, and vector search • Design and implement scalable AI platforms and cloud-native solutions using Microsoft Fabric and Microsoft Azure • Develop AI and machine learning applications using Python, machine learning frameworks, APIs, and REST-based services • Implement and manage MLOps and LLMOps practices, including deployment pipelines, model lifecycle management, monitoring, testing, and continuous improvement • Use Azure DevOps, GitHub, MLflow, and CI/CD pipelines to develop, deploy, and operationalize AI solutions • Collaborate with business and technical stakeholders to integrate AI and machine learning into enterprise applications and business processes • Design 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

🎯 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 modern AI models and multi-model AI systems • Proven expertise in AI solution architecture and scalable, secure, 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 • 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 • Reliability Status security clearance or higher required at time of application

🏖️ Benefits

• Collaborative environment • Mentorship and coaching • Knowledge-sharing and continuous improvement opportunities • Inclusive hiring practices • Recruitment-process accommodation support