
AI Deployment Engineer
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in United States.
• Create, develop, and implement AI-driven solutions utilizing Hatz AI as the core platform.
• Analyze customer data sources and requirements to define solution architecture.
• Build secure and compliant data pipelines that connect customer systems to AI workflows.
• Deploy AI Agents, Workflows, and Applications in live environments.
• Maintain expertise in Hatz AI and possess a working knowledge of Microsoft Co-Pilot and Anthropic Claude.
• Troubleshoot and enhance customer-managed Co-Pilot and Claude implementations.
• Assess platforms and suggest solution architecture or workload migrations.
• Review data quality, completeness, and the suitability for AI applications.
• Develop data validation, cleansing, preparation, and governance workflows.
• Document data specifications, transformation logic, governance policies, solutions, and insights gained.
• Ensure data management adheres to compliance obligations, privacy laws, and security protocols.
• Monitor and address customer-facing AI inquiries in HaloPSA.
• Offer technical troubleshooting, data diagnostics, and optimization advice.
• Deliver solutions that meet service level agreements.
• Determine when issues necessitate standard support or vendor escalation.
• Recognize requests that require formal projects and inform the SVP of Innovation regarding scope and resources.
• Define categories for HaloPSA AI-service tickets and monitor platform utilization and support metrics.
• Identify patterns in customer requests, platform preferences, challenges, and market opportunities.
• Employ prompt engineering techniques across Hatz AI, Co-Pilot, and Claude.
• Advocate for AI security and data governance standards.
• Work collaboratively with the AI & Development Director and cross-functional teams.
• Coordinate with customer IT and data teams, as well as Microsoft and Anthropic support.
• Demonstrated experience in deploying AI/ML solutions or similar technical implementations within production settings.
• Strong understanding of prompt engineering principles, AI security best practices, and data governance issues.
• Experience with customer data sources and challenges related to data quality.
• Familiarity with ETL/ELT processes or API-based data integrations.
• Knowledge of ticketing and service management systems; experience with HaloPSA is advantageous.
• Exceptional technical communication skills for both technical and non-technical audiences.
• Self-motivated problem-solving capabilities and comfort in a dynamic, growing team environment.
• Working knowledge of, or the ability to quickly acquire knowledge of, various AI platforms and their tools.
• Previous experience with Hatz AI or comparable AI-as-a-service solutions is preferred.
• Hands-on experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude integrations is preferred.
• Background in customer-facing technical support, professional services, project management, or service delivery is preferred.
• Experience in defining support processes and categorization systems in managed services or MSP environments is preferred.
• Experience with data quality assessment, validation, or master data management is preferred.
• Familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks is preferred.
• Background in data architecture or database administration is preferred.
• Availability Monday through Friday, from 8:00 AM to 5:00 PM EST.
• Willingness to travel to industry events, office locations, and company gatherings as necessary.
• Competitive base salary along with performance-based incentives and commissions.
• Ongoing training opportunities.
• Career development prospects.
• Opportunities for advancement within the company.
• A collaborative work culture.
• Travel opportunities to industry events, office locations, and company gatherings.
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Magpie Health Analytics
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