Senior Advanced Analytics / AI Engineer

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: Oct 6, 2026 to May 30,2027 Security Clearance: Reliability or higher is required at time of application SUMMARY We are seeking a highly experienced Senior Advanced Analytics / AI Engineer (LLMOps) with 10+ years of experience in advanced analytics, artificial intelligence, machine learning, data engineering, and enterprise-scale solution delivery. This role will lead the design, development, deployment, and operationalization of AI and Generative AI solutions within a Microsoft technology ecosystem, supporting the delivery of secure, scalable, and business-focused AI capabilities. RESPONSIBILITIES * Lead the architecture, design, deployment, and governance of enterprise AI and Generative AI solutions using Microsoft's AI ecosystem. * Design and implement scalable LLMOps capabilities, including model deployment, monitoring, optimization, automation, and lifecycle management. * Develop and operationalize Generative AI applications leveraging Azure OpenAI, Azure AI Foundry, advanced prompt engineering, and Retrieval-Augmented Generation (RAG) architectures. * Build and maintain AI-powered data platforms and end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, Databricks, and Azure Synapse Analytics. * Architect secure, scalable, and high-performing AI environments on Microsoft Azure, including containerized deployments using Azure Kubernetes Service (AKS). * Establish best practices for AI model governance, performance monitoring, operational reliability, and continuous improvement. * Champion Responsible AI practices by implementing governance, security, privacy, compliance, and risk management controls across AI solutions. * Collaborate with business and technical stakeholders to identify opportunities, define requirements, and deliver analytics and AI solutions that drive measurable business value. * Provide technical leadership, mentoring, and architectural guidance to multidisciplinary teams. * Evaluate emerging AI technologies and recommend innovative approaches to enhance organizational AI capabilities. REQUIREMENTS & QUALIFICATIONS * Minimum 10 years of experience delivering advanced analytics, machine learning, artificial intelligence, data engineering, and enterprise-scale technology solutions. * Proven experience designing, deploying, and operationalizing enterprise-scale Generative AI and advanced analytics solutions. * Deep expertise in Azure OpenAI, Azure AI Foundry, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures. * Extensive experience implementing and managing LLMOps and Azure Machine Learning environments, including AI deployment, monitoring, model lifecycle management, and operational governance. * Strong experience building modern AI and data platforms using Microsoft Fabric, Azure Data Factory, Databricks, Azure Synapse Analytics, and enterprise-grade AI data pipelines. * Expertise in Azure cloud architecture, AI solution design, scalable AI platforms, and containerized deployments using Azure Kubernetes Service (AKS). * Strong understanding of Responsible AI, AI governance, security, privacy, compliance, and risk management principles in enterprise environments. * Demonstrated ability to lead technical solution design and provide architectural direction for complex AI and analytics initiatives. * Experience collaborating with diverse stakeholder groups and translating business requirements into scalable technical solutions. * Excellent leadership, communication, analytical, problem-solving, and stakeholder management skills. 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.

The Advanced Analytics / AI Engineer will design and implement analytics solutions using MS Dynamics and Azure to support business objectives. They will also develop machine learning models and collaborate with cross-functional teams to derive actionable insights from complex datasets.

Candidates must have a minimum of 10 years of experience in data analytics, machine learning, or AI engineering. Proficiency in MS Dynamics, Azure, and programming languages like Python, R, or SQL is required, along with an enhanced security clearance.

• Microsoft AzureSouhaitée
• Visualisation de donnéesSouhaitée
• SQLSouhaitée
• Résolution de problèmesSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• CommunicationSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Advanced Analytics
• Artificial Intelligence
• MS Dynamics
• Azure
• Machine Learning
• Python
• R
• SQL
• Data Analysis
• Data Visualization
• Cloud Technologies
• Software Testing
• Problem-solving
• Communication
• Strategic Planning
• Data Integrity
• Operational Efficiency
• Strategic Decision Making
• Workflow Management
• Business Objectives
• Emerging Technologies
• Technology Ecosystems
• Thought Leadership
• Programming Languages
• Microsoft Azure
• Reconciliation
• Continuous Improvement Process
• R (Programming Language)
• Problem Solving
• IT Service Management
• Python (Programming Language)
• Machine Learning Algorithms
• Mentorship
• Coaching
• Safety Assurance
• SQL (Programming Language)
• Security Clearance
• Reliability
• Teamwork

• Data & Analytics
• Software
• Technology
• Consulting
• Engineering
• Advanced Analytics Analyst
• Artificial Intelligence Engineer (General)
• Software Developers

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada