Job description

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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