Senior ServiceNow Engineer

Credit Acceptance

. Engineer AI-powered self-service using ServiceNow conversational experiences, knowledge, workflows, and agent capabilities .

Posted 10/23/2026full-timeUnited StatesSenior💰 $125,500 - $175,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in ServiceNow platform engineering, focusing on AI-powered self-service solutions, workflow automation, and secure integrations. Proven ability to lead technical initiatives, mentor teams, and ensure production reliability while adhering to compliance standards.

Highest-signal resume keywords

ServiceNow ExperienceAI-Powered Self-Service SolutionsWorkflow AutomationTechnical LeadershipAgile/SCRUM Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptPlatform APIsSDLCADLCTestingRelease ManagementDevOps PracticesAccess ControlsCloud-Based ApplicationsConversational AI

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

ServiceNow Employee CenterVirtual AgentFlow DesignerIntegration HubApp EngineServiceNow Automated Test Framework

Certifications & Qualifications

Certified Application DeveloperCertified System Administrator

Industry Keywords

ITSMKnowledge ManagementService Catalog DesignCMDB Data QualitySOC 2Governed APIsResponsible AI Lifecycle Controls

Tech Stack

Tools & technologies

CloudITSMJavaScriptSDLCServiceNow

About the role

Key responsibilities & impact

Engineer AI-powered self-service using ServiceNow conversational experiences, knowledge, workflows, and agent capabilities
Partner with product owners, service teams, and business stakeholders to identify and prioritize automation opportunities
Improve knowledge quality and implement permissions-aware retrieval using catalog, CMDB, and service data
Define AI evaluation scenarios and release criteria for accuracy, grounding, task completion, and unsafe actions
Test prompts, models, tools, and knowledge before release
Build human approval workflows, audit trails, and suspension capabilities for sensitive automation
Build reusable actions, subflows, and agent tools for multiple business processes
Expose governed ServiceNow services through APIs and design secure integrations with validation, retries, and rollback
Configure least-privilege roles, integration identities, and secrets management
Support access reviews and audit evidence with process owners and Security
Measure cycle time, manual steps removed, hours released, adoption, rework, realized savings, support, and tool costs
Own production reliability for platform capabilities and integrations
Use logs, alerts, and root-cause analysis to reduce recurring failures
Monitor task completion, self-service resolution, and latency
Automate regression testing, maintain source control, document runbooks, and participate in the on-call rotation
Provide technical leadership through design reviews, code reviews, and mentoring
Evaluate ServiceNow releases and AI capabilities and recommend roadmap improvements
Use approved AI tools in engineering and review generated output
Provide user guidance and knowledge transfer

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, or a closely related field, or equivalent work experience
6+ years of enterprise software or platform engineering experience
Substantial hands-on ServiceNow experience across workflow automation, data models, access controls, JavaScript, platform APIs, and integrations
Experience delivering enterprise self-service, conversational AI, intelligent automation, or agent-based solutions with measurable adoption
Practical expertise in SDLC and ADLC
Agile/SCRUM, testing, release management, and DevOps practices
Experience building secure, compliant cloud-based applications, including access controls and sensitive data handling
Familiarity with standards such as SOC 2
Experience providing technical leadership and mentoring to other engineers
Must reside in or be willing to relocate to the greater Southfield, Michigan area, greater Bellevue, Washington area, or San Francisco Bay Area, California
Preferred: ServiceNow Employee Center, Virtual Agent, Now Assist, AI Agents, Flow Designer, Integration Hub, and App Engine
Preferred: ITSM, knowledge management, service catalog design, CMDB data quality or service mapping; HRSD, ITAM, SPM, and ITOM beneficial
Preferred: Governed APIs, Model Context Protocol (MCP), AI evaluation datasets, production feedback loops, ServiceNow Automated Test Framework, deployment automation, and responsible AI lifecycle controls
Preferred: Relevant ServiceNow certifications, such as Certified Application Developer or Certified System Administrator, supported by practical delivery experience
Required degrees must have been earned at accredited institutions

Benefits

Comp & perks

Annual variable incentive of cash and equity, between 7.5–15% of base salary
401(k) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision coverage
Nonstandard benefits
Hybrid work model with two work-from-home days and three in-office days each week