Senior ServiceNow Engineer

Credit Acceptance

. Design and build AI-powered employee self-service experiences using ServiceNow .

Posted 10/15/2026full-timeRemote • Michigan • United StatesSenior💰 $104,583 - $153,389 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered self-service experiences using ServiceNow, with a strong focus on workflow automation, secure integrations, and technical leadership. Proficient in managing enterprise software engineering processes, including SDLC, Agile practices, and compliance with standards like SOC 2.

Highest-signal resume keywords

ServiceNow ExperienceWorkflow AutomationConversational AI SolutionsTechnical LeadershipAgile Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptPlatform APIsIntegrationsSDLCADLCTestingRelease ManagementDevOps PracticesAccess ControlsCloud-Based Applications

Soft Skills

Technical LeadershipMentoringCommunication

Tools & Technologies

ServiceNow Employee CenterVirtual AgentFlow DesignerIntegration HubApp EngineServiceNow Automated Test Framework

Certifications & Qualifications

Certified Application DeveloperCertified System Administrator

Industry Keywords

AIAgentic SystemsAIOpsAutomationSOC 2HRSDITAMSPMITOM

Tech Stack

Tools & technologies

CloudITSMJavaScriptSDLCServiceNow

About the role

Key responsibilities & impact

Design and build AI-powered employee self-service experiences using ServiceNow
Advance common requests from conversational assistance to automated fulfillment and autonomous completion where appropriate
Partner with product and business teams to simplify processes and build reusable enterprise actions
Connect capabilities securely to enterprise systems and own engineering quality from discovery through production
Engineer ServiceNow conversational experiences, knowledge, workflows, and agent capabilities
Improve knowledge quality and implement permissions-aware retrieval grounded in catalog, CMDB, and service data
Define AI evaluation scenarios and release criteria; test prompts, models, tools, and knowledge before release
Build human approval, audit trails, and suspension controls for sensitive or faulty automation
Build reusable actions, subflows, and agent tools; expose governed ServiceNow services through APIs
Design secure integrations with contracts, 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, and rework
Own production reliability for platform capabilities and integrations
Use logs, alerts, root-cause analysis, regression testing, source control, and runbooks to reduce failures
Monitor task completion, self-service resolution, and latency
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 practices
Testing, release management, and DevOps practices
Experience building secure, compliant cloud-based applications
Experience with access controls and sensitive data handling
Familiarity with standards such as SOC 2
Experience providing technical leadership and mentoring to other engineers
Required degrees must have been earned at accredited institutions of higher education
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, or responsible AI lifecycle controls
Preferred: relevant ServiceNow certifications such as Certified Application Developer or Certified System Administrator
Working knowledge of AI grounding and retrieval, evaluation methods, human oversight, and agent permissions
Ability to diagnose and debug complex systems, including failed AI responses and actions
Ability to explain complex technical information verbally and in writing to all levels, including senior leadership
Knowledge of AI, agentic systems, AIOps, and automation

Benefits

Comp & perks

Annual variable cash bonus between 7.5% and 15%, based on individual performance
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision coverage
Nonstandard benefits
Work-from-home arrangement
Potential premium on top of the posted range for candidates in San Francisco, Seattle, Boston, New York City, Los Angeles, and San Diego zones