AI Deployment Engineer

🕒 October 9

🇺🇸 United States – Remote

💵 $90k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 0%

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NetCov

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🔒 Cybersecurity

💰 Private equity on 2022-11

Consulting • Healthcare • Cybersecurity

NetCov is a managed IT and cybersecurity firm that delivers managed IT services, cloud solutions, compliance management, AI-driven advisory, and cybersecurity to businesses across industries. With about 30 years of experience, 350+ staff, and partnerships with providers like AWS and Microsoft, NetCov focuses on secure, scalable, people-first IT support, regulatory compliance (including CMMC/NIST readiness), and AI-enabled automation for organizations such as AEC firms, credit unions, defense contractors, private equity-backed companies, and nonprofits.

📋 Description

• 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