ServiceNow AI Engineer

Job Title: ServiceNow AI Engineer

Job Type: Contract (Hybrid: 3 Days Onsite / 2 Days Remote)

Location Options (Hybrid):

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:

Consult on large-scale, complex software engineering initiatives with broad organizational impact.

Analyze multi-faceted software engineering challenges, including novel and unprecedented issues requiring deep domain expertise.

Lead or contribute to strategy, planning, and execution for ServiceNow Generative AI implementation projects.

Ensure alignment with company policies, procedures, and regulatory compliance requirements.

Work closely with stakeholders and cross-functional teams to deliver measurable business outcomes.

Define, document, and report on KPIs and metrics of value related to AI-driven ServiceNow capabilities.

Top Required Skills & Qualifications:

5+ years of Software Engineering experience, or equivalent (e.g., military service, education, training, consulting).

4+ years of hands-on ServiceNow engineering/development experience.

Experience in ServiceNow Generative AI capabilities, including hands-on implementations.

Proven experience in measuring and reporting value-based outcomes from ServiceNow deployments.

Strong strategic collaboration and consulting skills with client-facing stakeholders.

Certifications (Preferred but Not Required):

ServiceNow Certified System Administrator (CSA)

ServiceNow Certified Application Developer (CAD)

Preferred Experience:

Implementation and support of ServiceNow native AI capabilities

Familiarity with Core Platform, ITSM, HRSD, and Employee Portal components

Experience in a hybrid Agile/Waterfall environment