Note: The job is a remote job and is open to candidates in USA. NetCov delivers IT and cybersecurity solutions that protect and optimize customers' digital infrastructure. The AI Deployment Engineer designs, builds, and deploys AI-powered solutions across customer environments and internal initiatives, primarily using Hatz AI while supporting Microsoft Co-Pilot and Anthropic Claude. The role also manages data governance, customer support and triage, platform evaluations, documentation, reporting, and cross-functional collaboration.
Responsibilities
- 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
- Determine whether Co-Pilot or Claude issues warrant standard support or vendor escalation
- 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
Skills
- 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
- 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
- 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
Benefits
- Performance-based incentives and commissions
- Access to continuous training
- Career development opportunities
- Opportunities for advancement within a rapidly growing company
- Collaborative culture
Company Overview
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