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Müllers Solutions

Senior ServiceNow ITSM Architect with AI & ITAM exposure

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in Saudi ArabiaNo salary listed

About the Job

Requirements

  • At least 8 years of ServiceNow implementation experience.
  • At least 5 years in a Solution Architect or Lead Consultant role.
  • Proven experience delivering large-scale ITSM implementations.
  • Proven experience with FSM and/or field operations solutions.
  • Proven experience with ITAM, SAM, or CMDB-heavy programs.
  • Hands-on exposure to ServiceNow AI capabilities, including Generative AI and Predictive Intelligence.

Responsibilities

  • Design and implement comprehensive ITSM solutions on the ServiceNow platform, using AI capabilities to improve service efficiency and user experience.
  • Lead development and configuration of IT Asset Management modules and ensure their integration with ITSM processes.
  • Collaborate with business units to gather requirements, conduct gap analyses, and define functional specifications for ITSM and ITAM initiatives.
  • Provide technical leadership and guidance to project teams, ensuring adherence to best practices and architectural standards.
  • Oversee deployment of AI-driven initiatives to automate service requests, incident management, and asset tracking.
  • Stay current with emerging technologies and trends in ITSM, AI, and ITAM to recommend improvements and innovations.
  • Design end-to-end AI-enabled ServiceNow architectures across ITSM, FSM, and Asset Management.
  • Translate business pain points into practical AI use cases, including deflection, automation, prediction, and optimization.
  • Define AI adoption roadmaps aligned with operational maturity and data readiness.
  • Ensure alignment with ITIL v4, ServiceNow best practices, and platform governance.
  • Architect and implement Virtual Agent and conversational AI, Generative AI-based knowledge search and response drafting, and Predictive Intelligence for classification, routing, and prioritization.
  • Enable AI-driven incident deflection, automatic triage, and resolution recommendations; optimize MTTR, FCR, deflection rate, and CSAT.
  • Design AI-assisted work order intake and enrichment; enable intelligent technician assignment based on skills, availability, and location.
  • Implement AI-supported mobile experiences for field engineers, including guided diagnostics and summaries; improve first-time-fix rate, SLA compliance, and resource utilization.
  • Lead AI-supported ITAM, SAM, and HAM initiatives and ensure the CMDB meets CSDM standards.
  • Design AI use cases for asset lifecycle optimization, license compliance and spend optimization, predictive risk, and anomaly detection.
  • Oversee discovery, normalization, and reconciliation processes.
  • Configure and govern Now Assist and Generative AI capabilities, Flow Designer and automation frameworks, and AI guardrails, security, and data privacy controls.
  • Collaborate with platform engineers on integrations and performance optimization and ensure solutions are scalable, supportable, and upgrade-safe.
  • Lead architecture and design workshops with business and IT stakeholders; advise senior management and service owners.
  • Guide implementation teams and review deliverables for quality and alignment.
  • Support pre-sales activities, solution presentations, and value justification when required.

Desired Qualifications

  • ServiceNow certifications in ITSM, ITAM, or related areas.
  • Experience with machine learning and AI applications within enterprise IT environments.
  • Familiarity with Agile methodologies and tools for managing development lifecycles.
  • Skills in scripting and building integrations using ServiceNow APIs or other automation technologies.

About the Company

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