• Design, build, and deploy AI-powered solutions using the Hatz AI platform as the primary solution • Assess customer data sources and requirements to determine solution architecture, and establish secure, compliant data pipelines connecting customer systems to AI workflows • Serve as the active deployment resource for customer AI requests, executing technical implementations of AI Agents, Workflows, and Applications in production environments • Maintain deep proficiency with the Hatz AI platform as NetCov's primary AI solution • Maintain working knowledge of the Microsoft Co-Pilot and Anthropic Claude ecosystems — integration points, deployment models, API capabilities, and common use cases • Troubleshoot customer-managed Co-Pilot and Claude deployments on request and help customers optimize existing Microsoft and Anthropic AI investments • Evaluate requests across all three platforms to recommend the best solution architecture, including when to migrate workloads between platforms • Evaluate customer data sources for quality, completeness, and AI suitability, and work with customers to remediate issues affecting solution performance • Design data validation, cleansing, and preparation workflows, and establish architecture patterns that separate, secure, and govern customer data across Hatz, Co-Pilot, and Claude • Document data source specifications, transformation logic, and governance policies for each deployment • Ensure data handling aligns with customer compliance requirements, privacy regulations, and NetCov security policies; identify gaps requiring project work or vendor solutions • Monitor and respond to customer-facing AI tickets in HaloPSA, assessing scope, classification, and platform selection • Provide technical troubleshooting, data diagnostics, and optimization recommendations • Deliver timely, high-quality solutions that align with service level agreements, communicating any data quality or architectural constraints that may impact feasibility • Identify requests that warrant formal projects rather than support tickets — complex data integration, platform migrations, multi-platform initiatives — and advise the SVP of Innovation on qualification, scope, and resourcing • Define and refine HaloPSA ticket categories for AI services, including multi-platform support, and track reporting metrics — platform usage and support volume by ecosystem — to inform team growth, hiring, and process improvements • Generate and track reporting metrics to inform process improvements, including platform usage patterns and support volume by AI ecosystem • Identify patterns in customer requests, platform preferences, and pain points that signal market demand and opportunities for deeper engagement across all three ecosystems • Apply advanced prompt engineering techniques optimized for Hatz AI, Co-Pilot, and Claude, and understand each platform's strengths, limitations, and use case alignment • Champion AI security and data governance standards across all deployments • Document solutions, configurations, and lessons learned to build organizational knowledge, and stay current with AI/ML developments, platform updates, and industry best practices • Work closely with the AI & Development Director to align deployments with internal development roadmaps and data architecture standards • Coordinate with cross-functional teams on internal and client-facing initiatives, communicating requirements, data needs, and progress to stakeholders at all levels • Collaborate with customer IT and data teams on existing data systems, governance policies, and AI deployments; coordinate with Microsoft and Anthropic support as needed