Data and AI Architect

Description:

Recommended Qualifications and Experience: 
o Data Governance and Security – using tools such as Purview to manage data governance and ensure data security 
o Azure AI Services – implementing solutions using a range of Azure AI services, including: 
o Azure Cognitive Services – integrating pre-built APIs for vision, speech, language, and decision-making capabilities 
o Azure Bot Services – developing intelligent chatbots that can engage with users across multiple channels 
o Azure Machine Learning (AML) – building, training, deploying, and operationalizing machine learning models, including monitoring and maintaining models in production 
o Azure Form Recognizer – extracting information from documents 
o Azure Language Understanding (LUIS) – creating natural language understanding capabilities 
o Azure Cognitive Search – implementing AI-powered search capabilities 
o Azure Personalizer – providing personalized user experiences 
o Azure Metrics Advisor – monitoring and diagnosing issues in time-series data 
o Responsible AI – ensuring AI models are built and used ethically, addressing fairness, transparency, accountability, and security 
o Prompt Engineering – designing and refining prompts for AI models to improve response quality and relevance 
o OpenAI Experience – working with OpenAI models and APIs to create advanced AI solutions 
o Application Development – using Python, Flask, and App Service Environment for building and deploying applications 
o Infrastructure as Code – using Bicep for Azure infrastructure deployment 
o DevOps – implementing CI/CD pipelines using Azure DevOps, Git 
o Understanding Network Requirements – ensuring solutions meet the necessary network configurations and bandwidth requirements 
o Security Requirements – implementing robust security measures to protect data and applications 
o Performance Optimization – optimizing the performance of data pipelines and Spark applications to ensure efficiency and scalability 
o Delta Sharing – implementing secure and scalable data sharing across organizations using Delta Sharing 
o Unity Catalog – managing and securing data lakes with Unity Catalog for centralized governance and auditing 
• 2+ years of SQL Server or advanced database or advanced analytics experience 
• 3+ years of technical expertise in an enterprise environment 
• Deep technical or architectural knowledge of at least 2 of the following areas preferred: 
o Database administration (preferably with SQL, including Azure SQL) – performance tuning, troubleshooting, high availability/disaster recovery, security