MS Azure Data and AI Solution Architect

🕒 May 13

🐊 Florida – Remote

🐊 Florida – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Arbitration Forums, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1943

🛡️ Insurance

⚖️ Legal

☁️ SaaS

Insurance • Legal • SaaS

Arbitration Forums, Inc. is a membership-focused organization founded in 1943 that operates as the nation's largest arbitration and subrogation services provider for the insurance and claims industry. AF manages arbitration programs and electronic subrogation workflows across auto physical damage, medical payment, personal injury protection (PIP), property subrogation, special arbitration, international/reciprocal matters, and related programs. The organization offers online platforms (Total Recovery Solution and E-Subro Hub) to file and respond to cases and exchange subrogation demands, provides training and reference materials to members at no cost, and reports high volume metrics (about 1. 1M annual arbitration disputes, 2. 3M subrogation demands, 5k+ members, and $27B+ in claims).

📋 Description

• 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. • 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.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. • Minimum of 8 years of experience in cloud architecture, defining end to end ecosystems to support advanced analytics and AI solutions. • Relevant Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are a plus. • Proven experience as a solutions architect in a cloud environment. • In-depth knowledge of Azure data services (e.g., Azure Fabric, Azure Data Factory, OneLake, Data warehouse), AI services (AI Foundry, Azure Machine Learning, Azure Cognitive Services, etc.), Azure Application and Integration Services (API Management, Application Gateway, Power Automate). • Strong understanding of data modeling, ETL processes, and data warehousing concepts. • Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools (e.g., Power BI). • Strong knowledge of data governance, data security, and compliance practices. • Experience with data catalogs and lineage plotting tools. • Deep understanding of AI models lifecycles, from initial data sourcing to deployment and production model upkeep. • Working knowledge and proficiency in the development of implementation and adoption plans for composable AI offerings, including documentation of configuration requirements. • Excellent analytical and problem-solving abilities. • Ability to lead projects and mentor junior staff. • Auto Insurance claims industry experience preferred.

🏖️ Benefits

• This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). • Support data observability and AI explainability efforts to ensure the data continuum and enforce governance standards.