Role Overview:
We are seeking an Expert AI and Automation Architect with
over 15 years of experience in designing, implementing, and managing AI and
automation frameworks within enterprise IT environments. The ideal candidate
will possess extensive 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 capable of leveraging 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 AI and automation solutions are
scalable, reliable, and enhance 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 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
integrated platforms to support predictive analytics, automated remediation,
and proactive monitoring.
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:
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.
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.
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 effective use and management of AI-driven automation
solutions.
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.
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: Track record of designing and implementing large-scale AI and
automation frameworks in enterprise environments.
AI/ML
Expertise: Proficiency 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.
Preferred
Qualifications:
Experience with scripting languages (e.g.,
Python, R) for AI and automation purposes.
Familiarity with cloud-native AI and automation
solutions and their integration with enterprise platforms.
Knowledge of RESTful APIs and experience in
developing custom AI and automation integrations.