AI Deployment Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement AI-driven solutions utilizing Hatz AI as the main platform.

• Evaluate customer data sources and requirements to establish appropriate solution architecture.

• Create secure and compliant data pipelines that connect customer systems to AI workflows.

• Deploy AI Agents, Workflows, and Applications in live production settings.

• Maintain expertise in Hatz AI, along with a working understanding of Microsoft Co-Pilot and Anthropic Claude ecosystems.

• Troubleshoot and enhance customer-managed Co-Pilot and Claude deployments.

• Analyze platforms and suggest solution architecture, including workload migration when suitable.

• Evaluate data quality, completeness, and AI compatibility; address performance issues in collaboration with customers.

• Design workflows for data validation, cleansing, and preparation.

• Document data specifications, transformation logic, governance policies, solutions, configurations, and insights gained.

• Ensure that deployments adhere to compliance regulations, privacy laws, and NetCov security policies.

• Monitor and address customer-facing AI tickets using HaloPSA.

• Provide technical support, data diagnostics, and optimization suggestions within established service level agreements.

• Determine when issues necessitate standard support or vendor escalation.

• Identify requests that require formal project management and inform the SVP of Innovation about scope and resources.

• Define and refine AI service ticket categories while tracking platform usage and support metrics.

• Recognize patterns in customer requests and potential market opportunities across AI ecosystems.

• Utilize advanced prompt engineering techniques.

• Advocate for AI security and data governance standards.

• Collaborate with the AI & Development Director, cross-functional teams, customer IT/data teams, and support teams from Microsoft and Anthropic.

⛳️ Requirements

• Demonstrated experience in deploying AI/ML solutions or comparable technical implementations in live environments.

• Strong grasp of prompt engineering principles, AI security best practices, and data governance considerations.

• Experience with customer data sources and challenges related to data quality.

• Familiarity with ETL/ELT processes or API-based data connections.

• Knowledge of ticketing and service management systems; experience with HaloPSA is advantageous.

• Excellent technical communication skills for both technical and non-technical audiences.

• Self-motivated problem-solving skills and the ability to thrive in a fast-paced, evolving team environment.

• Working knowledge of, or aptitude to quickly learn, various AI platforms and their tools.

• Previous experience with Hatz AI or similar 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 within 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.

🏝️ Benefits

• Performance-based incentives and commissions.

• Ongoing training opportunities.

• Career development pathways.

• Opportunities for promotion.

• Collaborative workplace culture.

• Travel to industry conferences, office locations, and company events.