Company Overview
At NetCov, we specialize in delivering cutting-edge IT and cybersecurity solutions designed to protect and optimize the digital infrastructure for the industries we serve. We differentiate ourselves from our competition through our deep and intimate knowledge of our customers’ business.
About the Role
The 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.
Accountabilities
Deployment & 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 Required
Required 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
Why work at Netcov?
- Innovative Solutions: Work with cutting-edge cybersecurity and IT services tailored to the financial sector’s evolving needs.
- Competitive Compensation: Competitive base salary plus performance-based incentives and commissions.
- Professional Growth: Access to continuous training, career development, and opportunities for advancement within a rapidly growing company.
- Collaborative Culture: Join a team of passionate professionals who work together to solve complex challenges and deliver exceptional service to our clients.
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.
