We are seeking a Data Architect to lead a Generative AI initiative. The ideal candidate will have a deep understanding of Azure services and capabilities, and experience with architecting and implementing solutions using Azure. They must also possess knowledge of Python, APIs and machine learning frameworks.

Responsibilities

• Design and architect solutions that leverage Azure services and OpenAI technologies to address complex business problems and deliver innovative AI-powered applications.
• Evaluate and recommend appropriate Azure services and OpenAI technologies based on project objectives, scalability, performance, and cost considerations
• Design and implement end-to-end AI solutions, including data acquisition, data preprocessing, prompt engineering, API deployment, and monitoring
• Architect and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and security
• Develop architectural design documents, solution blueprints, and technical specifications to guide the development and implementation process
• Collaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutions

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years' experience with large-scale data and analytics solutions
• Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
• Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps
• Experience with preparing data for Data Science and Machine Learning purposes
• Experience with Azure data, Machine Learning and Artificial Intelligence solutions
• Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
• Experience with different database technologies including relational and non-relational.
• Experience with exposing data to end-users via Power BI, Azure API Apps.
• Experience in turning business use cases and requirements into technical solutions

Preferred Qualifications

• Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in data and AI/ML.
• Experience with OpenAI technologies, such as GPT-3, GPT-4 reinforcement learning, or computer
• Knowledge of data privacy and security regulations and best practices related to Azure and AI solutions
• Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.
• Azure Solutions Architect certification preferred

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