Strategic Staffing Solutions
Job Title: ServiceNow AI Engineer
Job Type: Contract (Hybrid: 3 Days Onsite / 2 Days Remote)
Location Options (Hybrid):
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Locations: Minneapolis, MN | Chandler/Phoenix, AZ | Des Moines, IA | Dallas, TX | Charlotte, NC
Project Overview:
We are seeking a ServiceNow Engineer to support our enterprise technology teams with the implementation of ServiceNow’s Generative AI capabilities across Core Platform, ITSM, HR Service Delivery, and the Employee Portal/Content teams. This is a high-impact role within a complex, multi-functional engineering environment.
Key Responsibilities:
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Consult on large-scale, complex software engineering initiatives with broad organizational impact.
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Analyze multi-faceted software engineering challenges, including novel and unprecedented issues requiring deep domain expertise.
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Lead or contribute to strategy, planning, and execution for ServiceNow Generative AI implementation projects.
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Ensure alignment with company policies, procedures, and regulatory compliance requirements.
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Work closely with stakeholders and cross-functional teams to deliver measurable business outcomes.
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Define, document, and report on KPIs and metrics of value related to AI-driven ServiceNow capabilities.
Top Required Skills & Qualifications:
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5+ years of Software Engineering experience, or equivalent (e.g., military service, education, training, consulting).
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4+ years of hands-on ServiceNow engineering/development experience.
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Experience in ServiceNow Generative AI capabilities, including hands-on implementations.
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Proven experience in measuring and reporting value-based outcomes from ServiceNow deployments.
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Strong strategic collaboration and consulting skills with client-facing stakeholders.
Certifications (Preferred but Not Required):
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ServiceNow Certified System Administrator (CSA)
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ServiceNow Certified Application Developer (CAD)
Preferred Experience:
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Implementation and support of ServiceNow native AI capabilities
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Familiarity with Core Platform, ITSM, HRSD, and Employee Portal components
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Experience in a hybrid Agile/Waterfall environment
Job ID: JOB-241645
Publish Date: 20 May 2025