Senior Advanced Analytics, AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take charge of the architecture, design, deployment, and governance of enterprise AI and Generative AI solutions utilizing Microsoft’s AI ecosystem.

• Create and execute scalable LLMOps capabilities, encompassing model deployment, monitoring, optimization, automation, and lifecycle management.

• Develop and operationalize Generative AI applications leveraging Azure OpenAI, Azure AI Foundry, prompt engineering, and RAG architectures.

• Construct and sustain AI-powered data platforms and comprehensive data pipelines using Microsoft Fabric, Azure Data Factory, Databricks, and Azure Synapse Analytics.

• Design secure, scalable, and high-performing AI environments on Microsoft Azure, including containerized AKS deployments.

• Set best practices for AI model governance, performance monitoring, operational reliability, and continuous enhancement.

• Execute Responsible AI governance, security, privacy, compliance, and risk-management controls.

• Work collaboratively with business and technical stakeholders to pinpoint opportunities, define requirements, and deliver AI solutions focused on business needs.

• Offer technical leadership, mentoring, and architectural guidance to multidisciplinary teams.

• Assess emerging AI technologies and propose innovative strategies.

⛳️ Requirements

• At least 10 years of experience in delivering advanced analytics, machine learning, artificial intelligence, data engineering, and enterprise-scale technology solutions.

• Proven track record in designing, deploying, and operationalizing enterprise-scale Generative AI and advanced analytics solutions.

• Extensive knowledge of Azure OpenAI, Azure AI Foundry, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

• Significant experience in implementing and managing LLMOps and Azure Machine Learning environments.

• Proficiency in AI deployment, monitoring, model lifecycle management, and operational governance.

• Strong background with 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 Azure Kubernetes Service (AKS).

• Comprehensive understanding of Responsible AI, AI governance, security, privacy, compliance, and risk management.

• Proven capability to lead technical solution design and provide architectural guidance.

• Experience in working with various stakeholder groups and translating business needs into scalable technical solutions.

• Exceptional leadership, communication, analytical, problem-solving, and stakeholder management abilities.

• Reliability Status security clearance or higher required at the time of application.

🏝️ Benefits

• Collaborative environment.

• Mentorship and knowledge-sharing opportunities.

• Support for coaching and professional growth.

• Commitment to inclusive hiring practices.

• Accommodation support throughout the recruitment process.