Senior Advanced Analytics / AI Engineer
PLATO•Canada, Capital Region
•CA$85 - CA$110
About The Position
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.
Requirements
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
