ai2io

Manager

• 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

Support Desk Manager

Solutions Engineer

• 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

AI Solutions Consultant

Program Manager

• 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

AI Enablement Program Manager

Architect

• 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

Application Architect

Full-stack Engineer

• 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.

Support Desk Manager

AI Solutions Consultant

AI Enablement Program Manager

Application Architect

Software Engineer – AI Tools Team