Remote AI Deployment Engineer: Multi-Platform & Governance

VersaTrust; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

NetCov is seeking an AI Deployment Engineer to design, build, and deploy AI-powered solutions across customer environments and internal initiatives. This role focuses on the Hatz AI platform while supporting Microsoft Co-Pilot and Anthropic Claude ecosystems, ensuring secure, compliant data pipelines and scalable AI services.

You will collaborate with cross-functional teams to align deployments with data architecture standards, governance policies, and security requirements, driving growth of

Qualifications

• Proven experience deploying AI/ML solutions in production environments.
• Strong prompt engineering and AI security best practices.
• Experience with customer data sources and ETL/ELT or API-based data connections.
• Familiarity with ticketing and service management systems.
• Excellent technical communication with technical and non-technical audiences.
• Self-directed and comfortable in a fast-paced, growing team.
• Ability to learn multiple AI platforms quickly.

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

AI deployment

Prompt engineering

Data governance

Technical communication

Multi-platform expertise

Tools

HaloPSA

Hatz AI

Microsoft Co-Pilot

Anthropic Claude

Job description

NetCov is seeking an AI Deployment Engineer to design, build, and deploy AI-powered solutions across customer environments and internal initiatives. This role focuses on the Hatz AI platform while supporting Microsoft Co-Pilot and Anthropic Claude ecosystems, ensuring secure, compliant data pipelines and scalable AI services.

You will collaborate with cross-functional teams to align deployments with data architecture standards, governance policies, and security requirements, driving growth of