AI Development Engineer

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NetCov

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🔒 Cybersecurity

💰 Private equity on 2022-11

Consulting • Healthcare • Cybersecurity

NetCov is a managed IT and cybersecurity firm that delivers managed IT services, cloud solutions, compliance management, AI-driven advisory, and cybersecurity to businesses across industries. With about 30 years of experience, 350+ staff, and partnerships with providers like AWS and Microsoft, NetCov focuses on secure, scalable, people-first IT support, regulatory compliance (including CMMC/NIST readiness), and AI-enabled automation for organizations such as AEC firms, credit unions, defense contractors, private equity-backed companies, and nonprofits.

📋 Description

• 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

🎯 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 (preferred) • Hands-on experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude API/platform integrations (preferred) • Background in customer-facing technical support, professional services, project management, or service delivery (preferred) • Experience defining support processes and categorization systems in managed services or MSP environments (preferred) • Experience with data quality assessment, validation, or master data management; familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks (preferred) • Background in data architecture or database administration (preferred).

🏖️ Benefits

• 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.