Arbitration Forums Inc.

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 Senior Software Engineer is a technical leader responsible for architecting, developing, and delivering innovative software solutions that support AF’s long-term vision of becoming a technology-first provider of insurance industry services. This role combines deep technical expertise with strategic thinking to design scalable, maintainable, and user-friendly systems across web-based and business-to-business platforms. As a key contributor, the Senior Software Engineer not only builds high-impact solutions but also mentors team members, influences architectural decisions, and drives engineering best practices. Their work directly contributes to operational efficiency and cost savings by automating manual processes and enabling smarter, data-driven workflows. This role is instrumental in aligning technology with business goals and ensuring the long-term success of AF’s digital transformation. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - 8+ years of professional software development experience with significant involvement in system and solution architecture. - Expert proficiency in one or more modern languages (e.g., Java, C#, Python, Go, or JavaScript/TypeScript). - Proven track record designing and operating containerized workloads (Docker, Kubernetes) and infrastructure as code (Terraform, Pulumi, ARM). - Hands-on experience identifying and mitigating security risks using OWASP, SAST/DAST tools, and zero-trust principles. - Deep understanding of distributed systems, microservices, event-driven architectures, and messaging platforms. - Proficiency with observability stacks (Dynatrace, Prometheus, Grafana, ELK) and major cloud platforms (AWS, Azure, GCP). - Demonstrated success leading Agile teams using tools like Jira, Azure DevOps, or GitHub Projects. Requirements - Define and evolve enterprise-scale system architectures, driving high cohesion, modularity, and API design standards. - Lead security initiatives: threat modeling, secure architecture reviews, remediation planning, and collaboration on compliance audits. - Champion performance engineering: establish profiling workflows, capacity-planning practices, and proactive tuning across distributed environments. - Architect and enforce engineering excellence: coding standards, automated testing strategies (unit, integration, contract), CI/CD pipelines, and release orchestration. - Design and operate fault-tolerant, self-healing systems; build observability frameworks and lead on-call rotations and incident management. - Facilitate Agile transformation: coach Scrum/Kanban teams, run sprint ceremonies, drive backlog prioritization, and instill continuous improvement mindsets. - Integrate AI capabilities into development lifecycles: leverage AI-assisted coding tools, automate testing with ML, and apply intelligent monitoring for anomaly detection. - Mentor and guide other engineers on architecture, coding practices, and career growth; host regular technical reviews and brown-bag sessions. - Partner with Product, Security, SRE, and DevOps to align roadmaps, drive end-to-end solutions, and evaluate emerging technologies. Company Description

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 MLOps Engineer is responsible for closing the gap between machine learning models development and their operational deployment. This role ensures that machine learning models are efficiently running in the production environment and are continuously monitored for performance. The MLOps Engineer contributes to Arbitration Forums AI-powered portfolio of products and services by enhancing the scalability and reliability of machine learning applications. This role works closely with data scientists, AI engineers, software development, and DevOps teams to automate and streamline the model lifecycle, from development to deployment and monitoring. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 6 years of experience in data science, machine learning, data management, data governance, or a related role. - Minimum of 6 years as a MLOps Engineer or in a similar role. - Technical Skills: - Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud). - Experience with AI tools, such as MS Azure ML, Snowflake, Databricks, CortexAI, Dataiku. - Deep understanding of data science principles, algorithms, and tools. - Strong knowledge of data governance, data security, and compliance practices. - Proficiency in programming languages such as Python, R, or Java. - Experience with containerization tools like Docker and orchestration tools like Kubernetes. - Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks. - Deep understanding of data engineering concepts and tools. - Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI). - 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. Requirements - Design, implement, and maintain machine learning pipelines and workflows for the continuous deployment and integration of machine learning models. - Optimize the pipelines for scalability, efficiency, and cost-effectiveness. - Collaborate with data scientists and AI engineers to understand model requirements and optimize deployment processes. - Automate the training, testing, and deployment processes for machine learning models. - Establish and enforce best practices for version control, documentation, and code quality in ML projects. - Monitor model performance and optimize algorithms for efficiency. - Conduct regular maintenance and updates to deployed models. - Collaborate with cross-functional teams to integrate machine learning solutions into business processes and applications. - Work with go to market, product management, and IT functions as well as stakeholders in AF and its members to identify the optimal methods for model rollout and adoption. - Maintain and optimize the cloud-based machine learning infrastructure and make recommendations for improvements. - Manage and allocate resources effectively, including computer power and storage for model inference. - Develop practices and utilize tools for data validation, model testing, and versioning. - Troubleshoot and resolve machine learning operational issues. - Document processes, workflows, and best practices for ML Operations. - Provide technical leadership and mentorship to junior data team members. Benefits - Support data observability efforts to ensure the data continuum and enforce governance standards. - Other duties as assigned by manager or project needs. 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.

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 Data Catalog Specialist drives and supports our data governance initiatives and ensures the integrity, quality, and security of our organization's data assets. This role is responsible for defining, implementing, and managing our data cataloging and metadata management practices as part of our overall data governance program. This role is an SME for AF in the areas of data classification, cataloging, lineage harvesting and plotting, and metadata, contributing to the quality and security of our data, ensuring that data assets are documented, discoverable, and accessible for utilization in advanced analytics, data science, machine learning, and AI-powered applications. Departmental Expectation of Employee - Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model - 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 Essential Duties and Responsibilities - Develop, implement, and maintain strategies for data discovery, cataloging, and metadata management - Ensure that the quality of the data cataloged meets company standards and adheres to internal guidelines - Curate and validate metadata for integrity and accuracy, ensuring that taxonomies and structures are captured to provide additional context - Maintain clear lineage information and establish source of truth for data items, including mapping and reconciliation of information - Work with data owners to ensure that taxonomies are aligned with business definitions - Define and measure the key performance indicators (KPIs) associated with data cataloging and lineage, identifying deviations and recommending corrective actions - Enable effective data stewardship and accountability through the definition of supporting processes and implementation of procedures in cataloging tools - Lead and drive to completion efforts to capture and maintain metadata, including data lineage, data quality, and data usage information - Provide guidance to employees on data governance and cataloging processes and procedures, as well as training on the data governance tool stack - Raise awareness of data management best practices and their importance to business operations - Foster a culture of data stewardship, collaboration, and continuous improvement - Monitor compliance with data governance policies and assess effectiveness of controls - Prepare and present data governance reports, dashboards, and metrics to senior leadership Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field - 6 years of experience in data cataloging tools and platforms - In-depth understanding of metadata management principles and practices, as well as strong working knowledge of frameworks, processes, and tools for data lineage plotting and harvesting - Strong understanding of data governance principles, frameworks, and best practices - Familiarity with regulatory requirements and industry standards related to data privacy and security - Technical Skills: - Proficiency in data modeling, database design, and data warehousing (e.g., SQL, NoSQL, Hadoop, MS Azure cloud, etc.) - Understanding of cloud-based data platforms (Snowflake, Databricks) - Experience with ETL/ELT tools and data integration technologies (e.g., Apache, DBT, Informatica, Matillion, Talend) - Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud) - Strong understanding of data catalogs and lineage plotting practices and tools (Unity, Purview) - Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI) - Proficiency in programming languages such as Python or R - 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.

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 Quality Assurance Engineer is responsible for safeguarding the integrity of AI systems by meticulously overseeing the testing process to identify bugs and inconsistencies. This role serves as the last line of defense, ensuring that only the most reliable AI solutions are deployed. This role is responsible for designing, developing, and optimizing test cases for AI solutions, ensuring that models and prompts for generative AI are producing the expected outputs prior to full integration into business processes and applications. The incumbent will partner with stakeholders to drive business value to Arbitration Forums and our members through fully tested AI solutions for deployment through a myriad of implementation methods. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field. - Minimum of 7 years of experience in AI solution testing, software quality assurance, data governance, data science, or a related role. - Expertise in complex testing frameworks with combined AI and programmatic solutions, including multiple deployment methods. - Auto Insurance claims industry experience preferred. Requirements - Advanced programming knowledge, including mastery of programming languages such as Python and Java. - Deep understanding of machine learning and AI principles, from generative models to predictive advanced algorithms. - Cloud computing knowledge for deploying and managing AI applications on cloud platforms like Microsoft Azure. - Understanding of containerization technologies like Docker and orchestration tools like Kubernetes for scaling AI solutions. - Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data. - Strong understanding of natural language processing concepts and techniques. - Proficiency in programming languages such as Python, R, and familiarity with AI frameworks (e.g., TensorFlow, Selenium, PyTorch). - Working knowledge of testing frameworks, from techniques to automate web applications to validation of machine learning models. - Experience with continuous integration and delivery in the context of DevOps and MLOps. - Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud). - Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku. - Strong knowledge of data governance, data security, and compliance practices. - Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI). - 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. Benefits - 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. Additional Duties and Responsibilities - Lead AI systems and model observability efforts to ensure adherence to company policies and enforce governance standards. - Other duties as assigned by manager or project needs.

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 Senior Cloud Data Engineer will be responsible for designing, developing, and implementing robust, scalable, and secure data pipelines for modern cloud platforms to support analytics and AI/ML needs at Arbitration Forums, Inc. This role will streamline data acquisition from different data sources and set up processes to ensure data quality and data security. Essential Duties and Responsibilities - Data Engineering & Pipeline Development: - Design, develop, and implement robust, scalable, and secure data pipelines in a cloud environment. - Build and manage ETL/ELT processes to efficiently move and transform large datasets from multiple data sources. - Implement secure data access, encryption, and data masking policies. - Develop automated processes to validate data quality and data accuracy. - Document and maintain data workflows and diagrams. - Work with data scientists and AI specialists to automate model deployment lifecycles (MLOps). - Data pipeline/warehouse management: - Configure and maintain cloud-based data warehousing solutions. - Optimize data warehouse storage strategies to support analytics and data science needs. - Set up monitoring tools and alerts to maintain data warehouse availability and reliability. - Troubleshoot, profile, and optimize data pipelines for performance issues to minimize latency. - Collaboration: - Work closely with data architects, data analysts and data scientists to understand their data needs and translate them into technical designs. - Mentor and guide junior data engineers, perform code reviews, and establish best practices for cloud data engineering. - Collaborate with DevOps and ITOps to implement CI/CD pipelines and robust DR strategies. Qualifications - Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field. - 7+ years of experience in data engineering with a focus on cloud data engineering. - Technical Skills: - Profound understanding of major cloud platforms (AWS, GCP, Azure) and major cloud data platforms like Snowflake and Databricks. - Hands-on experience with data services offered by cloud platforms. - Expertise in programming languages such as Python, Java, or Scala with strong SQL skills. - Experience with ETL/ELT tools like Talend, DBT, Azure Data Factory, etc. - Experience with CI/CD tools like GitLab/GitHub. - Strong knowledge of data governance, data security, and compliance practices. - Experience supporting data science and machine learning operations. - Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau). - Soft Skills: - Excellent analytical and problem-solving abilities. - Strong communication and interpersonal skills to collaborate with cross-functional teams. - 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.

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 UX/UI Designer is a senior-level role responsible for the usability and adoption of AI and Data solutions. This role is for a creative and user‑centric person who is responsible for designing intuitive, engaging, and visually appealing digital experiences across web and mobile platforms. The UX/UI Designer is responsible for shaping end‑to‑end digital experiences through a combination of user-centered research, interaction design, and visual interface design. This role requires the ability to translate complex business requirements and user needs into intuitive, elegant, and scalable digital solutions for web, mobile, and enterprise applications. This role works with stakeholders across the organization and member users to understand requirements and define the scope of use cases and collaborates with cross‑functional teams—including AI Solution and Data Products architects, advanced analytics, member experience, and marketing to translate use cases, requirements, and user insights into effective design solutions. Qualifications - Minimum of 8 years of experience in user research and user interface design. - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data. - Proficiency in Figma, Sketch, Adobe XD, Illustrator, Photoshop, or similar tools. - Strong understanding of UX principles, design systems, and interaction design. - Experience conducting user research and usability testing. - Ability to create wireframes, user flows, and prototypes (low and high fidelity). - Strong visual design skills with attention to typography, layout, and color theory. - Excellent communication and storytelling skills. - Experience training/presenting to end users & stakeholders. - Experience as an Agile Scrum team contributor/strong working knowledge of agile methodologies. - Experience working in complex ecosystems (enterprise software, AI/ML tools, healthcare, finance, e-commerce, etc.). - Knowledge of service design methods and holistic experience design. - Experience with prototyping tools such as Principle, ProtoPie, Framer, or After Effects for motion design. - Experience designing with data, dashboards, visualizations, or analytics-heavy interfaces. - Understanding of product strategy, KPI frameworks, and experiment-driven design. Requirements - Auto Insurance industry experience a plus. - Experience working in Agile or cross‑functional product teams. - Familiarity with HTML/CSS fundamentals. - Experience designing for enterprise, SaaS, or mobile-first products. - Knowledge of accessibility guidelines and inclusive design principles. - Working knowledge of agile team tools (Jira, Confluence). - Experience using UI design tools, such as Figma, Axure, etc. - Experience conducting Customer Journey Mapping sessions. - Experience translating improvement opportunities into actionable items. - Seasoned use of MS tools (Word, Excel, Visio, PowerPoint). - Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Strong interpersonal skills, demonstrated professionalism, and the ability to listen and collaborate with others. - Exceptionally strong communication skills (video conference engagement, verbal, written). - Ability to communicate complex data concepts effectively at all levels. - Team player - ability to work on a self-directed scrum team, make collaborative decisions, take ownership of sprint tasks, be accountable to the team for sprint commitments (swarm to help others). - Ability to quickly resolve conflict by identifying productive and positive outcomes. - Strong organizational and time management skills, requiring minimal supervision. Benefits - 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.

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 Governance & Explainability Engineer is a hands-on technical role within the Data Governance team responsible for ensuring AI, GenAI, and Agentic AI solutions are explainable, governable, auditable, and production-ready. This role embeds governance directly into the AI technology stack, translating policies, regulatory expectations, and risk requirements into technical controls, automated checks, standardized artifacts, and release gates across the AI lifecycle. The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. - Minimum 7 years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related roles. - Demonstrated experience operationalizing AI governance, explainability, and risk controls in production environments. - Deep understanding of Agentic AI architectures and lifecycle considerations. Requirements - Strong proficiency in Python with hands-on experience in AI/ML engineering workflows. - Working knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines). - Experience with Microsoft Purview (catalog, lineage, classification, ownership). - Experience with AI/ML and GenAI tooling, including Azure AI Foundry / Azure ML, ML explainability libraries (e.g., SHAP), LLMs, RAG architecture, and prompt engineering. - Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection). - Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOps. - Understanding of cloud platforms (Azure preferred; AWS/GCP a plus). - Experience producing audit-ready technical documentation and evidence artifacts. - Familiarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring views. Benefits - Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model. - 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. Company Description 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.

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 Power BI & Azure Web App Developer is responsible for leading the analysis, design, development, testing, and deployment of data analytics solutions as well as Azure Web App for a Dashboard portal. The final deliverables for data analytics solutions can take many forms, such as data feeds, reports, dashboards/visualizations, data applications, and end-user reporting. This role plays a key role in designing and developing the dashboard portal, defining the data structures and layers to ensure effective, consistent, and efficient delivery of analytics products to our members and AF employees. This role is expected to interact with AF employees and members to solicit feedback on their designs, utilization of the solutions, and to make recommendations based upon customer feedback. Qualifications - Minimum of 5 years of experience in Azure Web App and Power BI development - Bachelor’s degree in computer science, Business, Statistics, or related field (equivalent work experience may be considered) - Agile development methodology, including tools such as Jira and Confluence for product documentation - Experience designing, developing, and delivering data analytics solutions in Power BI independently - Experience leading logical data modeling in a data analytics environment - Advanced SQL skills, including writing and tuning complex queries, Oracle database experience preferred - Experience and discipline utilizing multiple version control software products and change management processes - Experience utilizing data transformation and load technologies such as Talend, ADF, etc. - Knowledge of advanced data analytics and predictive analytics, including data sciences, text analytics, and machine learning - Experience interacting with Data Science, ML tools such as Dataiku, Azure ML, Databricks AI, etc. - Understanding of cloud-based data engineering processes, as well as exposure to data platforms such as Fabric Requirements - Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model - 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 Benefits - 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 Essential Duties and Responsibilities - Solution Design & Architecture: - Design and implement scalable web application architecture hosted on Azure App Service (Web Apps), including environment strategy for Dev / QA / UAT / Prod - Define API-driven rendering patterns (e.g., server-side rendering, SPA with API calls, or hybrid), and establish standards for data-fetching, caching, and error-handling - Collaborate with data architects, product architects, and stakeholders to translate requirements into technical designs, including non-functional requirements (performance, resiliency, security, compliance) - Evaluate and recommend Azure services (e.g., API Management, Key Vault, Application Insights, Front Door, Azure Cache for Redis) to meet reliability and scale needs - Web Application Development (UI + Rendering): - Build responsive, accessible web interfaces that render content based on API responses, including robust UI states (loading, empty, partial, error) - Develop reusable UI components and page templates aligned to design standards and accessibility requirements - Implement client-side and/or server-side rendering strategies optimized for performance - Ensure consistent UX behavior across browsers and devices, including mobile-friendly layouts - API Integration & Data Handling: - Integrate APIs to retrieve reports and dashboards from analytics tools such as Power BI and WebFOCUS - Implement resilient API consumption patterns: retries with backoff (where appropriate), timeouts and cancellation, circuit-breaker patterns (as applicable), graceful degradation and fallback UI - Transform and validate API payloads for presentation needs while maintaining data integrity - Coordinate API contracts including versioning and backward compatibility planning - Security, Identity & Access: - Implement authentication and authorization using enterprise identity solutions (e.g., Microsoft Entra ID/Azure AD, OAuth2/OIDC) - Enforce secure coding practices: protect against common vulnerabilities (OWASP Top 10), input validation, output encoding, CSRF protection, secure session/token handling - Manage secrets and certificates using Azure Key Vault (no secrets in code or config files) - Support role-based access control (RBAC) and claims-based authorization patterns across UI features and API access - Azure App Service Configuration & Operations: - Configure Azure Web App resources: deployment slots (blue/green or canary), autoscaling rules, custom domains and TLS certificates, app settings and connection strings - Implement environment-specific configuration management (feature flags, app settings, config providers) - Ensure high availability and reliability with appropriate scaling, health checks, and recovery patterns - Perform routine maintenance: dependency updates, runtime upgrades, certificate renewals, and platform patch planning - Data Engineering and Analysis: - Identifies data needs of members and AF employees - Collaborates with AF teams to define and execute strategies to gather data from multiple sources, creating and maintaining the necessary pipelines while conveying business and technical data needs for the development and deployment of data-based products - Data Visualizations, Reporting and Data Feeds: - Designs, builds, and manages data visualization, reporting and data feeds for internal and external users utilizing tools available - Defines and applies consistent design for the user experience to minimize training needs and provide a common experience across the data analytics platform - Advocates for advances required to deliver insights in new and innovative methods while also focusing on lifecycle maintenance of our data analytics, full breadth of solutions - Power BI embedding: - Embed Power BI content (Power BI Embedded vs user-based embedding), manage embed tokens, handle workspace/report identifiers, and align with Power BI admin settings - Row-Level Security (RLS) / effective identity handling for embedded scenarios - Report catalog / inventory management - Own the data model for the portal catalog (report metadata, owners, tags, audiences, environments, certification status, last refresh, deprecation status) - Implement CRUD/admin workflows (who can add/edit/remove listings; approval workflow if needed) - Data Accuracy and Solution Quality: - Documents and maintains design deliverables and validates application results against calculations and data definitions to ensure quality of products delivered - Conducts testing, follows defect tracking processes to deliver quality solutions. Supports the quality assurance, testing, and production release processes - Partners with Data Governance and Data Architecture to ensure that data is declared in the enterprise taxonomy catalog and managed according to data governance policies - Security: - This role is responsible for following AF Security standards and ensuring the security model and best practices are built into deliverables - The Data Analytics Developer utilizes the AF security standard processes to ensure member data is secured - Production Support: - Proactively follows up on production support tickets or any other reported data discrepancies providing leadership on the prioritization of support activities - Performs incident investigation and service restoration - Change and Configuration Management Duties: - Responsible for version control, change management processes and impact analysis of changes. This includes maintaining the inventory of reports, summaries of changes and driving creation and prioritization of the product backlog - Leads deployment of solutions, including collaboration across AF to ensure seamless and efficient implementation

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 RPA (Robotic Process Automation) Engineer is responsible for designing, developing, and implementing software bots that streamline business operations by automating repetitive tasks, freeing human resources to focus on more complex and strategic assignments. The RPA Engineer contributes to Arbitration Forums portfolio of products and services, ensuring that business challenges are met with fit for purpose AI/RPA-powered solutions. - Identifies process candidates for automation, analyzing processes and checking whether they can be automated. - Partners with business architects, data analytics, and AI engineers to define a framework that supports future AI-enabled innovations. 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 data science, machine learning, data management, data governance, or a related role. - Experience using statistics and machine learning to solve complex business problems. - Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages. - Experience building and deploying predictive models, web scraping, and scalable data pipelines. - Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud). - Understanding machine learning and AI concepts and tenets. - Experience in SQL and NoSQL. - Strong working knowledge of automation tools such as Blue Prism, Microsoft Power Automate, UiPath, Automation Anywhere, Datamatics, Appian. - Proficiency in programming languages such as Python, C+, C++, Java, .NET. - Expertise in BPMN and workflow-based logic. - Strong knowledge of data governance, data security, and compliance practices. - Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI). - 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. Requirements - Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model. - 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. Benefits - Support data observability efforts to ensure smooth RPAs operations and to capture and mitigate degradation over time. - Other duties as assigned by manager or project needs. Company Description 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.

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 GenAI and Agentic AI Engineer is responsible for designing, developing, optimizing, and testing generative AI and agentic AI solutions to enable the production of accurate, relevant, and high-quality outputs across various business applications. The ideal candidate will have a strong background in AI, natural language processing, and RPA, and deep expertise in Large Language Models, RAG, prompt engineering, and Robotic Process Automation. The GenAI and Agentic AI Engineer will partner with stakeholders to drive business value to Arbitration Forums and our members through GenAI and Agentic AI solutions. This role excels at the implementation of the agentic AI development process, employing AI techniques to guide and enhance solutions, developing effective AI interactions and automations through proficient programming and testing. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field. - Minimum of 7 years of experience in NLP, GenAI, LLMs, RAG, data governance, data science, or a related role. - Deep understanding of the components and development process of an Agentic AI solution. Requirements - Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. - Working knowledge of Azure AI Foundry and ML Studio. - Working knowledge of low code solutions, as well as tool integration and multi-agent collaboration. - Experience mapping and defining business processes and/or workflows for automation purposes. - Cloud computing knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. - Deep understanding of containerization technologies like Docker and orchestration tools like Kubernetes for scaling AI solutions. - Experience combining design patterns like Tool Use, Reflection, and Planning for robust and solid automation. - Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). - Experience in Natural Language Processing (NLP) for text generation projects. - Working knowledge of techniques for text parsing, sentiment analysis, and the use of transformers like GPT models. - Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data. - Proficiency in prompt engineering for generative AI models (GPT-4, DALL-E, etc.) and experience creating and integrating RAG capabilities. - Strong understanding of natural language processing concepts and techniques. - Understanding of Agentic AI frameworks and tools, like CrewAI and Azure AI Foundry. - Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud). - Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku. - Strong knowledge of data governance, data security, and compliance practices. - Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI). - Proficiency in programming languages such as Python, R, or SQL. Benefits - Support model and solution observability efforts to ensure adherence to company policies and enforce governance standards. - Other duties as assigned by manager or project needs. Company Description 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.