Microsoft Azure Data and AI Solution Architect

The Microsoft Azure Data and AI Solution Architect will be responsible for designing, developing, and implementing data and AI solutions that meet our business needs. This role will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to design and implement Azure architectures, and manage Azure services and products as the Azure Data and AI ecosystem.

DEPARTMENTAL EXPECTATION OF EMPLOYEE

• Adheres to AF Policy and Procedures and the AF Leadership Brand
• Acts as a role model within and outside AF.
• Performs duties as workload necessitates.
• Maintains a positive and respectful attitude.
• Communicates regularly with supervisor about Department issues.
• Demonstrates flexible and efficient time management and ability to prioritize workload.
• Consistently reports to work on time, prepared to perform duties of the position.
• Meets Department productivity standards.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Azure Data and AI Ecosystem:

• Design, implement, and integrate Azure services such as Azure Data Fabric, Azure Data Factory, OneLake, Purview Unified Catalog, AI Foundry, Machine Learning, Cognitive Services, Power BI, Power Automate, and application services to deliver high quality data and AI products to our members.
• Generate and spearhead the execution of a multi-year implementation roadmap for the Azure data and AI ecosystem that includes individual components and their integration to create a continuum to support AF s AI-powered solutions.
• Optimize the Azure data and AI ecosystem to iteratively support growing complexity and more sophisticated operations as new use cases and AI solutions are identified and delivered.
• Ensure that Azure-based data and AI solutions include embedded metrics to understand performance and aid in maintenance and support activities.
• Operate and administer AF s data and AI Azure ecosystem to ensure that best practices are utilized and alignment of AF s operating, security and compliance polices are observed.
• Manage the Azure data and AI ecosystem costs, working with stakeholders to identify and set budgets for Azure services, and monitoring consumption and licensing for Azure data and AI products and services.
• Orchestrate the utilization of Azure AI suite of products and services to support best practices in the development, testing, integration, and deployment of AI models and algorithms.
• Coordinate with data engineers and teams, AI engineers and developers, application and infrastructure teams, and data governance and security teams to ensure that deployed AI-powered solutions are ready for hand off to support teams, ensuring knowledge transfer is adequate for the successful maintenance and support of AI solutions.
• Identify and resolve technical issues related to cloud infrastructure and applications, providing timely support and solutions.

Collaboration and Strategy:

• Work closely with IT, data engineers, data analysts, data scientists, and business stakeholders.
• Provide technical leadership and mentorship to junior data team members.

• Stay updated on Azure cloud products and services as well as best practices, making recommendations for continuous improvement.