AI Deployment Engineer
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Job Description
AI Deployment Engineer deploying secure AI solutions across Hatz AI, Microsoft Co-Pilot, and Anthropic Claude. Supporting NetCov’s cybersecurity and IT services through data governance, troubleshooting, and platform architecture.
Responsibilities:
- Design, build, and deploy AI-powered solutions using the Hatz AI platform
- Assess customer data sources and requirements to determine solution architecture
- Establish secure, compliant data pipelines connecting customer systems to AI workflows
- Execute technical implementations of AI Agents, Workflows, and Applications in production environments
- Support Microsoft Co-Pilot and Anthropic Claude ecosystems, including integrations, deployment models, APIs, and use cases
- Troubleshoot customer-managed Co-Pilot and Claude deployments and optimize AI investments
- Evaluate platforms and recommend solution architectures or workload migrations
- Assess data quality, completeness, AI suitability, and compliance requirements
- Design data validation, cleansing, preparation, and governance workflows
- Monitor and respond to customer-facing AI tickets in HaloPSA
- Provide technical troubleshooting, data diagnostics, and optimization recommendations
- Identify requests requiring formal projects and advise the SVP of Innovation on scope and resourcing
- Define AI service ticket categories and track platform usage and support metrics
- Apply prompt engineering techniques and champion 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, customers, Microsoft, and Anthropic support
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 is a plus
- Excellent technical communication skills with 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 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 preferred
- Familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks preferred
- Background in data architecture or database administration preferred
Benefits:
- Competitive base salary plus performance-based incentives and commissions
- Continuous training
- Career development
- Opportunities for advancement
- Collaborative culture
- Travel to industry events, office locations, and company events
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