ServiceNow ITSM Architect
Posted 18 Jan 2026
Advertised as “Senior ServiceNow ITSM Architect with AI & ITAM exposure”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8–12 yrs
- Management level
- People management
- Employment
- Remote
No salary listed for this role.
As ServiceNow AI & ITSM Solution Architect at Müller Solutions you will be responsible for designing, leading, and delivering AI-enabled ServiceNow solutions across Service Desk (ITSM), Field Service Management (FSM), and Asset Management (ITAM/SAM/HAM).
The role owns the end-to-end solution architecture, ensuring that ServiceNow AI capabilities (including GenAI and Predictive Intelligence) are effectively aligned with business processes, data foundations, and measurable operational outcomes.
This position acts as the primary technical and functional authority for AI-driven ServiceNow transformations.
Key Responsibilities
1. Solution Architecture & AI Strategy
- Design end-to-end AI-enabled ServiceNow architectures across ITSM, FSM, and Asset Management.
- Translate business pain points into practical AI use cases (deflection, automation, prediction, optimization).
- Define AI adoption roadmaps aligned with operational maturity and data readiness.
- Ensure alignment with ITIL v4, ServiceNow best practices, and platform governance.
2. Service Desk (ITSM) AI Enablement
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Architect and implement:
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Virtual Agent & conversational AI
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GenAI-based knowledge search and response drafting
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Predictive Intelligence for classification, routing, and prioritization
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Enable AI-driven incident deflection, auto-triage, and resolution recommendations.
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Optimize KPIs including MTTR, FCR, deflection rate, and CSAT.
3. Field Service (FSM) AI Enablement
- 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 (guided diagnostics, summaries).
- Improve first-time-fix rate, SLA compliance, and resource utilization.
4. Asset Management & CMDB Intelligence
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Lead AI-supported ITAM / SAM / HAM initiatives.
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Ensure high-quality CMDB aligned with CSDM standards.
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Design AI use cases for:
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Asset lifecycle optimization
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License compliance and spend optimization
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Predictive risk and anomaly detection