AI Development Engineer

NetCov specializes in delivering cutting-edge IT and cybersecurity solutions. The AI Development Engineer will design, build, and deploy AI-powered solutions while ensuring security and data governance across various platforms.

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

Requirements:

• 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
• 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