AI & Automation Architect
Dicetek LLC
Date: 1 day ago
City: Abu Dhabi
Contract type: Contractor
Extensive hands-on experience with AI-driven automation tools, machine learning models, and platforms like ServiceNow, SolarWinds, Dynatrace, and Nexthink. Experience with scripting languages (e.g., Python), Knowledge of RESTful APIs and experience in developing custom AI and automation integrations.
Position Title: Expert AI and Automation Architect
Experience Level: 15+ Years
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
Position Title: Expert AI and Automation Architect
Experience Level: 15+ Years
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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