About the RoleThe AI Deployment Engineer is a newly created, growth-oriented role on Network Coverage's Innovation team and the primary technical resource for designing, building, and deploying AI-powered solutions across customer environments and internal NetCov initiatives. The role works primarily in Hatz AI while also supporting the Microsoft Co-Pilot and Anthropic Claude ecosystems, and is instrumental in scaling NetCov's AI service offerings while upholding security, data governance, and customer satisfaction standards.
AccountabilitiesDeployment & Implementation
- 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
Multi-Platform AI Expertise
- 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
Data Management & Governance
- 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
Customer Support & Triage
- 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
- Determine whether Co-Pilot or Claude issues warrant standard support or vendor escalation
Strategic Assessment & Growth
- 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
Technical Expertise & Best Practices
- 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
Collaboration
- 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
Knowledge, Skills, and Abilities RequiredRequired Qualifications
- Proven experience deploying AI/ML solutions or similar technical implementations in production environments
- Strong understanding of prompt engineering principles, AI security best practices, and data governance considerations
- Experience with customer data sources and data quality challenges; familiarity with ETL/ELT processes or API-based data connections
- Familiarity with ticketing and service management systems (HaloPSA experience a plus)
- Excellent technical communication skills with both technical and non-technical audiences
- Self-directed problem-solving ability and comfort working in a fast-paced, growing team
- Working knowledge of, or ability to quickly learn, multiple AI platforms and their tools
Preferred Qualifications
- Prior experience with Hatz AI platform or similar AI-as-a-service solutions
- Hands-on experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude API/platform integrations
- Background in customer-facing technical support, professional services, project management, or service delivery
- Experience defining support processes and categorization systems in managed services or MSP environments
- Experience with data quality assessment, validation, or master data management; familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks
- Background in data architecture or database administration
Core Competencies
- Multi-Platform Technical Proficiency: Hatz AI mastery (primary), Co-Pilot and Claude ecosystem knowledge, prompt engineering, solution architecture, platform selection
- Data Stewardship: Data quality assessment, governance mindset, attention to data accuracy and security
- Customer Focus: Active listening, responsiveness, solution orientation, ability to translate data requirements
- Strategic Thinking: Scope assessment, growth opportunity identification, distinguishing support from project work
- Documentation & Process: Clear communication, attention to detail, process improvement mindset, data and platform documentation rigor
- Adaptability: Comfort in a new, evolving role defining early processes and standards
Role Logistics- This is a full-time position; Monday-Friday 8:00am -5:00pm EST
- This position may require travel to industry events, Network Coverage office locations, and Network Coverage events where locations will vary.
