Expert AI and Automation Architect

Architect and Design AI and Automation Solutions:

1. Lead the design and architecture of AI-driven automation frameworks integrated with SolarWinds, Dynatrace, Nexthink, and ServiceNow.
2. Ensure that AI and automation solutions are scalable, reliable, and enhance IT operations, service management, and digital experience management.

Implementation and Configuration:

1. Oversee the deployment and configuration of AI-driven automation tools within the ServiceNow platform and integrated monitoring solutions.
2. Customize AI models and automation workflows to align with organizational goals, enhancing incident response, problem resolution, and service delivery.

Integration Management:

1. Design and implement AI-driven automation across integrated platforms to support predictive analytics, automated remediation, and proactive monitoring.
2. Develop and maintain machine learning models and automation scripts for real-time data processing, incident prediction, and intelligent decision-making.

AI-Powered Monitoring and Incident Management:

1. Leverage AI to enhance the monitoring capabilities of SolarWinds, Dynatrace, and Nexthink, enabling predictive maintenance, anomaly detection, and automated incident resolution.
2. Integrate AI-driven insights into ServiceNow to optimize ITSM processes, reducing Mean Time to Resolution (MTTR) and improving service efficiency.

Automation Strategy and Best Practices:

1. Develop and enforce best practices for AI and automation across IT operations, ensuring alignment with business objectives.
2. Create and implement strategies to measure and improve key performance indicators (KPIs) such as operational efficiency, service availability, and employee productivity through automation.

Troubleshooting and Problem Resolution:

1. Lead efforts to troubleshoot and resolve complex issues within AI-driven automation frameworks and their integration with monitoring and service management platforms.
2. Provide expert-level support for AI and automation-related incidents, ensuring rapid resolution and minimal impact on IT operations and end users.

Documentation and Training:

1. Document the architecture, configuration, integration points, and operational procedures for AI and automation frameworks.
2. Provide training and knowledge transfer to internal teams to ensure effective use and management of AI-driven automation solutions.

Stakeholder Collaboration:

1. Work closely with IT operations, data science, and service management teams to gather requirements and ensure AI and automation solutions align with business objectives.