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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying AI-powered solutions, with a strong focus on data governance, compliance, and prompt engineering across multiple AI platforms. Proficient in technical communication and problem-solving within fast-paced environments, ensuring high-quality service delivery and customer satisfaction.
Highest-signal resume keywords
AI/ML Solution DeploymentPrompt Engineering PrinciplesData Governance Best PracticesMicrosoft Co-Pilot IntegrationHatz AI Platform Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution ArchitectureData Pipeline DesignETL/ELT ProcessesData Quality AssessmentAPI IntegrationData Validation WorkflowsTechnical TroubleshootingData DiagnosticsProject ManagementMaster Data Management
Soft Skills
Technical CommunicationSelf-Directed Problem SolvingCollaborationCustomer-Facing SupportAdaptability
Tools & Technologies
Hatz AI PlatformMicrosoft Co-PilotAnthropic ClaudeHaloPSAAzure OpenAI
Industry Keywords
GDPRCCPAHIPAAData GovernanceAI Security Standards
Tech Stack
Tools & technologiesAzureETL
About the role
Key responsibilities & impact- Design, build, and deploy AI-powered solutions using the Hatz AI platform as the primary solution
- Assess customer data sources and requirements to determine solution architecture, and establish secure, compliant data pipelines connecting customer systems to AI workflows
- Serve as the active deployment resource for customer AI requests, executing technical implementations of AI Agents, Workflows, and Applications in production environments
- Maintain deep proficiency with the Hatz AI platform as NetCov's primary AI solution
- Maintain working knowledge of the Microsoft Co-Pilot and Anthropic Claude ecosystems — integration points, deployment models, API capabilities, and common use cases
- Troubleshoot customer-managed Co-Pilot and Claude deployments on request and help customers optimize existing Microsoft and Anthropic AI investments
- Evaluate requests across all three platforms to recommend the best solution architecture, including when to migrate workloads between platforms
- Evaluate customer data sources for quality, completeness, and AI suitability, and work with customers to remediate issues affecting solution performance
- Design data validation, cleansing, and preparation workflows, and establish architecture patterns that separate, secure, and govern customer data across Hatz, Co-Pilot, and Claude
- Document data source specifications, transformation logic, and governance policies for each deployment
- Ensure data handling aligns with customer compliance requirements, privacy regulations, and NetCov security policies; identify gaps requiring project work or vendor solutions
- Monitor and respond to customer-facing AI tickets in HaloPSA, assessing scope, classification, and platform selection
- Provide technical troubleshooting, data diagnostics, and optimization recommendations
- Deliver timely, high-quality solutions that align with service level agreements, communicating any data quality or architectural constraints that may impact feasibility
- Identify requests that warrant formal projects rather than support tickets — complex data integration, platform migrations, multi-platform initiatives — and advise the SVP of Innovation on qualification, scope, and resourcing
- Define and refine HaloPSA ticket categories for AI services, including multi-platform support, and track reporting metrics — platform usage and support volume by ecosystem — to inform team growth, hiring, and process improvements
- Generate and track reporting metrics to inform process improvements, including platform usage patterns and support volume by AI ecosystem
- Identify patterns in customer requests, platform preferences, and pain points that signal market demand and opportunities for deeper engagement across all three ecosystems
- Apply advanced prompt engineering techniques optimized for Hatz AI, Co-Pilot, and Claude, and understand each platform's strengths, limitations, and use case alignment
- Champion AI security and data governance standards across all deployments
- Document solutions, configurations, and lessons learned to build organizational knowledge, and stay current with AI/ML developments, platform updates, and industry best practices
- Work closely with the AI & Development Director to align deployments with internal development roadmaps and data architecture standards
- Coordinate with cross-functional teams on internal and client-facing initiatives, communicating requirements, data needs, and progress to stakeholders at all levels
- Collaborate with customer IT and data teams on existing data systems, governance policies, and AI deployments; coordinate with Microsoft and Anthropic support as needed
Requirements
What you’ll need- 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 a plus)
- Excellent technical communication skills with both 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 platform 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; familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks (preferred)
- Background in data architecture or database administration (preferred).
Benefits
Comp & perks- Innovative Solutions: Work with cutting-edge cybersecurity and IT services tailored to the financial sector’s evolving needs.
- Competitive Compensation: Competitive base salary plus performance-based incentives and commissions.
- Professional Growth: Access to continuous training, career development, and opportunities for advancement within a rapidly growing company.
- Collaborative Culture: Join a team of passionate professionals who work together to solve complex challenges and deliver exceptional service to our clients.