ai2io

• Implement AI2IO’s software quality assurance framework, covering manual, automated, functional, and performance testing. • Utilize Azure DevOps (ADO) for QA processes, including test plans, work item tracking, and reporting dashboards. • Collaborate with developers, delivery leads, and analysts to embed QA early in the design and development lifecycle. • Conduct hands-on testing, validation, and regression testing during initial phases of the QA program. • Develop and maintain reusable test case libraries, templates, and documentation standards. • Establish release readiness criteria, defect triage procedures, and metrics for quality tracking and reporting. • Recommend and pilot test automation tools and frameworks for future scaling. • Mentor development pods in QA best practices and support the recruitment and onboarding of future QA/Test Engineers. • Continuously assess and improve QA workflows to reduce defects, rework, and time-to-release.

• Own the end-to-end success of solutions within an assigned value stream or product domain. • Bridge business and technical worlds to guide discovery, development, and delivery of solutions. • Act as a player-coach, facilitating alignment and removing obstacles for the team. • Translate organizational objectives into a clear vision and roadmap for the assigned value stream. • Prioritize initiatives based on business value, technical feasibility, and client impact. • Maintain awareness of industry trends and emerging technologies. • Apply working knowledge of MEP engineering workflows to accelerate discovery. • Oversee project execution within the team; planning, prioritization, and progress tracking. • Define acceptance criteria and measure success using quantitative and qualitative data. • Mentor team members and contribute to the refinement of delivery frameworks.

• Maintain and troubleshoot Azure IaaS and PaaS environments, ensuring secure configuration, high availability, and adherence to organizational cloud standards. • Administer and support Microsoft Entra ID including security groups, dynamic group queries, M365 group lifecycle management, RBAC role assignments, and Conditional Access policy implementation. • Manage and support Microsoft 365 services including Teams, Exchange Online, SharePoint, and licensing governance. • Configure and troubleshoot Azure networking components including Virtual Networks, subnetting, Private Endpoints, Private DNS Zones, and Global Secure Access connectivity. • Implement and support Azure Storage solutions including Blob Storage and Azure File Shares with RBAC + NTFS permissions and Kerberos authentication (AADDS/Entra scenarios). • Serve as escalation point for complex Azure identity, networking, and storage-related issues. • Support cross-tenant collaboration initiatives including B2B guest access configuration and cross-tenant migration activities. • Assist with tenant-to-tenant resource migrations including storage accounts, virtual machines, and identity configurations. • Monitor and optimize Azure spend using Azure Cost Management; provide recommendations for cost control and right-sizing resources. • Support Azure Virtual Desktop (AVD) environments including Remote Apps, Desktop Pools, image management, and familiarity with Nerdio automation (if applicable). • Participate in backup and retention configuration for Azure workloads, ensuring alignment with business continuity requirements.

• The Support Desk Manager leads the Service Desk function and is accountable for the performance, growth, and development of the support team • Owns the day-to-day direction of the Service Desk, manages the support technicians, and is personally accountable for service quality, responsiveness, and the consistency of the end-user support experience • Owns the support hiring and candidate pipeline, forecasts staffing needs against demand, and identifies and defines new support roles as the team scales • Establishes the structure, processes, escalation paths, and career paths that allow the Service Desk to grow without degrading service quality • Manage the Support Team and develop the team through mentorship, coaching, and career development • Conduct regular 1:1s and performance reviews, deliver constructive feedback, and build a culture of accountability, responsiveness, and continuous improvement • Own and report on Service Desk KPIs and SLAs, and establish dashboards and a regular reporting cadence • Define, document, and continuously improve Service Desk processes, workflows, ticket-handling standards, and escalation paths • Ensure the knowledge base is maintained with clear, current articles, diagrams, and walk-throughs

• Embed with business teams across AI2IO and affiliated companies to observe workflows, elicit requirements, and identify high-value AI use cases • Design and build AI-based solutions within approved platforms, including Claude Projects, Microsoft 365 Copilot agents, and the internal CORE AI platform • Develop and maintain prompt libraries, system prompts, and structured workflows tailored to specific business processes and roles • Configure Power Automate flows, Copilot Studio agents, and other low-code components that extend AI capabilities into existing business systems • Conduct discovery sessions with business stakeholders to translate non-technical problem statements into actionable AI implementation plans • Pilot, iterate, and refine AI solutions in close partnership with the business owners who will operate them • Document delivered solutions with sufficient detail for handoff to end users and for replication by other consultants • Partner with the AI Enablement Program Manager to convert successful engagements into reusable patterns, case studies, and training material • Surface platform gaps, governance concerns, and feature requests to the Director of AI Enablement based on field observations • Maintain current, working knowledge of capability updates across all approved AI platforms

• Responsible for the operational program that drives organization-wide adoption of AI2IO’s standard AI platforms • Own the end-to-end enablement program: training, communications, adoption tracking, and ROI reporting • Design and deliver the company’s AI training curriculum — from onboarding for new hires to advanced workshops for power users • Run the workshop calendar across business units • Own internal communications channels that surface AI use cases, platform updates, and new capabilities to employees • Build and maintain dashboards that track adoption, license utilization, and value realized across the AI platform portfolio • Produce regular reporting to executive leadership on platform ROI • Work hand-in-hand with the AI Solutions Consultant to convert field engagements into reusable training material and communications content

• Define and own application-level architecture across an assigned application portfolio, including solution structure, component design, data models, and integration patterns • Translate enterprise architectural standards set by the Principal Architect into technical designs that engineering teams can implement • Provide day-to-day technical guidance and design decisions for engineering squads, serving as the primary point of technical escalation • Lead architectural design sessions, code reviews, and technical evaluations to ensure consistency and quality across the application portfolio • Design and govern .NET and Blazor application patterns, component libraries, and UI/UX architecture using Telerik component frameworks • Define and maintain SQL Server data architecture, including schema design, query optimization strategies, and data access patterns • Author and maintain architecture documentation, design standards, and technical decision records (TDRs) • Mentor engineers across experience levels, building technical capability within the team • Evaluate and recommend tooling, frameworks, and libraries aligned with the technology roadmap • Collaborate with the Principal Architect on the progressive migration roadmap toward Azure cloud services • Partner with product and business stakeholders to understand requirements and translate them into sound technical designs • Identify and mitigate technical risk, including performance, scalability, maintainability, and security concerns • Completion of Assigned Tasks and Deliverables on Time and on Budget • Performs Other Related Duties as Assigned

• As a Software Engineer Specialist, you will play a key role in designing, developing, and maintaining AI-focused software solutions and toolchains. • Collaborate with engineering colleagues to deliver intelligent applications and services that leverage technologies such as Azure AI Foundry, M365 Copilot Extensibility, the M365 Agents SDK, and Agent Framework. • Create scalable, reliable, and user-friendly solutions that streamline workflows, enhance collaboration, and deliver meaningful AI capabilities. • Perform responsibilities in alignment with organizational values, business objectives, and departmental priorities. • Help create solutions that build intelligent assistants, agents, and conversational experiences. • Incorporate Azure AI Search to enhance software functionality and build RAG- and GraphRAG-based applications on Azure with integrations between Azure OpenAI Service and Azure Machine Learning. • Utilize AI language models and prompt-engineering best practices to analyze, refine, and optimize code. • Implement intelligent features, such as auto-completion, natural language queries, and context-aware insights, within custom applications. • Collaborate effectively within the team and across engineering groups to support solution design, implementation, and delivery. • Communicate technical concepts clearly and effectively with team members and engineering partners to support collaboration and execution.

• Leverage extensive knowledge and experience in business intelligence, data analysis, and technical skills to create and implement advanced solutions • Actively participate in designing and developing new BI applications and reports, focusing on delivering actionable insights and ensuring data accuracy and reliability • Maintain and optimize existing BI solutions, addressing reported issues or adding features • Develop custom software to extend the functionality of the ERP and CRM systems • Work collaboratively with data engineers, other BI developers, and team members to ensure proper operation and acceptance of BI solutions • Assist project leadership on projects of complex scope and work independently or under limited supervision • Utilize knowledge of Power BI, SSRS, SSAS, and other BI tools to create interactive dashboards and reports • Work with the software development team to integrate BI capabilities into other applications • Use knowledge of relational database design to develop the database layer of applications • Develop and maintain ETL processes, data warehouses, and database security strategies • Prepare project progress reports for internal and external stakeholders

• The Director, Business Intelligence is the strategic leader of the Company’s enterprise data, analytics, and forecasting capabilities • This role transforms data scattered across CRM, ERP, HRIS, project performance, and financial systems into a unified, decision-grade intelligence layer • The Director sets the technical and operational direction for the Business Intelligence platform, builds and leads a high-performing analytics team, and ensures quality, accuracy, and executive usability of every metric, dashboard, and forecast • This role is responsible for establishing and maintaining BI platform standards, modernizing the data and analytics estate on Azure Data Lake and Microsoft Fabric • Lead the design and delivery of an integrated forecasting capability and provide leadership with what-if scenario tooling that models the downstream impacts of business decisions • Ensure alignment between platform architecture, analytics delivery, and business needs.