
AI Deployment Engineer
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in United States.
• Design, develop, and implement AI-driven solutions utilizing the Hatz AI platform.
• Evaluate customer data sources and requirements to establish solution architecture.
• Create secure, compliant data pipelines that link customer systems to AI workflows.
• Carry out technical implementations of AI Agents, Workflows, and Applications in live settings.
• Assist with the Microsoft Co-Pilot and Anthropic Claude ecosystems, encompassing integrations, deployment strategies, APIs, and use cases.
• Diagnose issues with customer-managed Co-Pilot and Claude deployments and enhance AI investments.
• Analyze platforms and suggest solution architectures or workload migrations.
• Review data quality, completeness, AI appropriateness, and compliance needs.
• Develop data validation, cleansing, preparation, and governance workflows.
• Oversee and address customer-facing AI tickets in HaloPSA.
• Offer technical troubleshooting, data diagnostics, and optimization suggestions.
• Identify requests that necessitate formal projects and inform the SVP of Innovation regarding scope and resources.
• Establish AI service ticket categories and monitor platform usage and support metrics.
• Utilize prompt engineering techniques and advocate for AI security and data governance standards.
• Document solutions, configurations, lessons learned, data specifications, and governance policies.
• Collaborate with the AI & Development Director, cross-functional teams, clients, and support from Microsoft and Anthropic.
• Demonstrated experience in deploying AI/ML solutions or comparable technical implementations in production settings.
• Strong grasp 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 skills and the ability to thrive in a dynamic, growing team.
• Working knowledge of, or a quick learning ability for, multiple AI platforms and their tools.
• Previous experience with Hatz AI or comparable AI-as-a-service solutions is preferred.
• Practical experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude API/platform 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.
• Knowledge of GDPR, CCPA, HIPAA, or similar compliance frameworks is preferred.
• Background in data architecture or database administration is preferred.
• Competitive base salary along with performance-based incentives and commissions.
• Ongoing training opportunities.
• Career development prospects.
• Opportunities for advancement.
• A collaborative work culture.
• Travel opportunities to industry events, office locations, and company gatherings.
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