This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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). 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 policies 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. - Support data observability and AI explainability efforts to ensure the data continuum and enforce governance standards. - Other duties assigned by manager or project needs. Qualifications - 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. Technical Skills - 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. Soft Skills - Excellent analytical and problem-solving abilities. - Strong communication and interpersonal skills to collaborate with cross-functional teams. - Ability to lead projects and mentor junior staff. - Auto Insurance claims industry experience preferred. Americans with Disability Specifications - Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. - While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. - The employee must occasionally lift and/or move up to 25 pounds. - Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. - Work Environment: This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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). The AI Product Architect is responsible for understanding the opportunities brought by emerging technologies and Artificial Intelligence to the end-to-end insurance Claims process. This role evolves AF’s current product line functionality via identification of AI-powered capabilities. As part of an AI-powered solution designing and implementation organization, this role will partner with AF’s stakeholders to identify opportunities to embed intelligent decisioning in the claims management ecosystem, modularizing current architecture via re-engineering, modularization and shifting functional architectures to cloud. The AI Product Architect defines configurable and interoperable AI solutions and plug-and-play scenarios that provide our members and partners with options to realize the value of AF’s offerings, while minimizing technical debt and optimizing the value delivered. This role collaborates with the AI Innovation, Advanced Analytics, Operations, Marketing, Membership Experience, and IT functions to execute strategic plans that bring innovative solutions and excellent value to our members’ organization. Qualifications - More than 8 years of experience in operationalization of AI models or high-definition solutions, and integration with business processes and applications. - More than 6 years of experience in product architecture, product management, and systems interoperability. - Domain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions work. - Experience with technology-driven transformations and end-to-end AI solutions lifecycle. - Deep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applications. - Proficiency in road mapping, definition, and implementation of prioritization frameworks. - Expertise in cloud application solutions, API design and management, and marketplace business and deployment models. - Experience working with agile teams, writing user stories, and grooming backlogs. - Functional knowledge of composable products with a high level of configurability. - Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements. - Proficiency in the operations of a not-for-profit organization. - Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach. Requirements - Working knowledge of cloud services (MS Azure, AWS) and data platforms (Azure ADF, Databricks). - Experience with AI tools, such as MS Azure AI Foundry, Azure ML, Snowflake Cortex AI, Dataiku. - Proficiency in programming languages such as Python, R, or SQL. - Experience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and Apigee. Benefits - The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Company Description AF is a remote working environment.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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). The AI Product and Data Architecture Manager is responsible for understanding the opportunities brought by emerging technologies and Artificial Intelligence to the end-to-end insurance Claims process. This role is critical in the evolution of AF’s current product line functionality via identification of AI-powered capabilities. As part of an AI-powered solution designing and implementation organization, this role will partner with AF’s stakeholders to identify opportunities to embed intelligent decisioning in the claims management ecosystem, modularizing current architecture via re-engineering, modularization, and shifting functional architectures to cloud. The AI Product and Data Architecture Manager articulates the strategy for the definition and implementation of configurable and interoperable AI solutions and plug-and-play scenarios that provide our members and partners with options to realize the value of AF’s offerings, while minimizing technical debt and optimizing the value delivered. This role collaborates with AI Innovation, Advanced Analytics, Operations, Marketing, Membership Experience, and IT functions to execute strategic plans that bring innovative solutions and excellent value to our members’ organization. The AI Product and Data Architecture Manager is a critical player in AF’s journey to data-driven and AI-powered innovation, identifying and implementing strategies to enable the design, development, and implementation of complete and interoperable functional and technical capabilities. Qualifications - More than 10 years of experience in operationalization of AI models and integration with business processes and applications. - More than 8 years of experience in product architecture, product management, and systems interoperability. - Domain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions work. - Experience with technology-driven transformations and end-to-end AI solutions lifecycle. - Deep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applications. - Proficiency in the definition and implementation of prioritization frameworks. - Expertise in cloud application solutions, API design and management, and marketplace business and deployment models. - Functional knowledge of composable products with a high level of configurability. - Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements. - Proficiency in the operations of a not-for-profit organization. - Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach. Requirements - Working knowledge of cloud services (MS Azure, AWS) and data platforms (Snowflake, Databricks). - Experience with AI tools, such as MS Azure AI Foundry and ML Studio, Snowflake Cortex AI, Dataiku. - Proficiency in programming languages such as Python, R, or SQL. - Experience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and Apigee. Benefits - Acts as a role model within and outside AF. - Performs duties as workload necessitates. - Maintains a positive and respectful attitude. - Communicates regularly with the departmental leader 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. - Alignment with AF Leadership Brand. - Meets department documentation/process guidelines. Company Description AF is a remote working environment.

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves As an AI Trainer - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing—you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. While each project involves unique tasks, contributors may: - Crafting original, clear, and fact-checked responses based on project guidelines. - Following style and quality standards to ensure consistency. - Collaborating with Quality Assurance Specialists to refine and improve content. What we look for This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:  - Bachelor’s degree in any subject field; - At least 1 year of professional or educational experience in any field; - Strong written English (C1/C2); - Stable internet connection.  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $30 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.