Senior ServiceNow AI & Automation Engineer

Credit Acceptance Corporation

Oregon

Hybrid

USD 126,000 - 176,000

Full time

9 days ago

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Benefits offered by this job

401(k) match
Parental leave
Tuition reimbursement
Medical coverage
Dental coverage
Vision coverage

Job summary

Credit Acceptance Corporation is seeking an experienced engineer to build AI-powered self-service capabilities in ServiceNow, emphasizing deterministic automation and governance. You will partner with product teams to identify friction, prioritize opportunities, and implement secure integrations across catalog and service data.

Focus on reliability, code quality, and mentoring while contributing to the enterprise automation roadmap in a hybrid work environment.

Qualifications

  • 6+ years of enterprise software/platform engineering with ServiceNow experience.
  • Experience delivering enterprise self-service, conversational AI, or automation with measurable adoption.
  • SDLC/ADLC with Agile/SCRUM, testing, release management and DevOps.
  • Experience building secure cloud-based apps with access controls and SOC 2 familiarity.
  • Leadership and mentoring of other engineers.

Responsibilities

  • Engineer AI-powered self-service using ServiceNow workflows, knowledge and agent capabilities.
  • Identify friction points with product owners; prioritize opportunities and simplify before automating.
  • Develop trusted enterprise context for AI with secured permissions and data sources.
  • Define evaluation scenarios, test prompts/models, and enable human approvals for sensitive actions.
  • Create reusable actions, APIs, and secure integrations with governance and rollback.
  • Support production reliability with monitoring, debugging, and on-call participation.

Education

Bachelor's degree

Tools

ServiceNow
APIs/integrations

Job description

Credit Acceptance Corporation is seeking an experienced engineer to build AI-powered self-service capabilities in ServiceNow, emphasizing deterministic automation and governance. You will partner with product teams to identify friction, prioritize opportunities, and implement secure integrations across catalog and service data.

Focus on reliability, code quality, and mentoring while contributing to the enterprise automation roadmap in a hybrid work environment.

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