Role Overview:

We are looking for an Expert AI and Automation Architect with 15+ years of experience in designing, implementing, and managing AI and automation frameworks across enterprise IT environments. The ideal candidate will have deep expertise in integrating AI-driven automation within monitoring and service management platforms, specifically SolarWinds, Dynatrace, Nexthink, and ServiceNow. This role requires a forward-thinking individual who can leverage AI to enhance IT operations, automate routine tasks, and improve decision-making processes.

Key Responsibilities:

1. Architect and Design AI and Automation Solutions:

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

1. Implementation and Configuration:

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

1. Integration Management:

• Design and implement AI-driven automation across the integrated platforms (SolarWinds, Dynatrace, Nexthink, and ServiceNow) to support predictive analytics, automated remediation, and proactive monitoring.
• Develop and maintain machine learning models and automation scripts that facilitate real-time data processing, incident prediction, and intelligent decision-making.

1. AI-Powered Monitoring and Incident Management:

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

1. Automation Strategy and Best Practices:

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

1. Troubleshooting and Problem Resolution:

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

1. Documentation and Training:

• Document the architecture, configuration, integration points, and operational procedures for AI and automation frameworks.
• Provide training and knowledge transfer to internal teams to ensure they can effectively use and manage AI-driven automation solutions.

1. Stakeholder Collaboration:

• Work closely with IT operations, data science, and service management teams to gather requirements and ensure AI and automation solutions align with business objectives.
• Collaborate with vendors and partners to stay updated on the latest AI and automation features, integration capabilities, and best practices.

1. Security and Compliance:

• Ensure that AI-driven automation frameworks and their integrations adhere to organizational security policies and compliance requirements.
• Implement security best practices within the AI and automation architecture and across integrated systems.

Required Qualifications:

• Experience: 15+ years of experience in IT, with at least 10 years focused on AI and automation architecture, design, management, and integration.
• Technical Expertise: Extensive hands-on experience with AI-driven automation tools, machine learning models, and platforms like ServiceNow, SolarWinds, Dynatrace, and Nexthink.
• Integration Skills: Proven experience in integrating AI and automation solutions with monitoring and service management platforms.
• Architecture and Design: Proven track record of designing and implementing large-scale AI and automation frameworks in enterprise environments.
• AI/ML Expertise: Expertise in developing and deploying machine learning models and AI algorithms for IT operations and service management.
• Troubleshooting: Strong problem-solving skills with the ability to troubleshoot complex issues in AI and automation frameworks and their integrations.
• Collaboration: Excellent communication skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Certifications: Relevant certifications in AI, machine learning, and automation are highly preferred.