AI & 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 the AI and automation solutions are scalable, reliable, and capable of enhancing 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 across 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 the integrated platforms (SolarWinds, Dynatrace, Nexthink, and ServiceNow) to support predictive analytics, automated remediation, and proactive monitoring.
2. 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:

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 they can effectively use and manage 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.
2. Collaborate with vendors and partners to stay updated on the latest AI and automation features, integration capabilities, and best practices.

Security and Compliance:

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

Desired Candidate Profile

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.

Preferred Qualifications:

1. Experience with scripting languages (e.g., Python, R) for AI and automation purposes.
2. Familiarity with cloud-native AI and automation solutions and their integration with enterprise platforms.
3. Knowledge of RESTful APIs and experience in developing custom AI and automation integrations.

Work Environment:

[Insert any specific details about the work environment, such as remote work options, on-site requirements, etc.]

Application Process:

Interested candidates are invited to submit their resumes and a cover letter detailing their experience with AI and automation architecture, design, and integration in enterprise IT environments.

Employment Type:

Full Time

Company Industry:

IT - Software Services

Department / Functional Area:

Interior Design

Keywords:

1. Generative AI
2. AI Architect