Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Credit Acceptance

Senior Workforce Solutions Engineer

Credit Acceptance

. Identify friction and simplify business processes before automating .

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

Tech Stack

Tools & technologies
JavaScriptPythonSDLCServiceNowSQL

About the role

Key responsibilities & impact
  • Identify friction and simplify business processes before automating
  • Partner with product owners, service teams, and business stakeholders to prioritize opportunities
  • Configure platform workflows, write scripts, expose supported APIs, and use approved low-code tools to automate recurring work
  • Deliver production productivity solutions with clear ownership and support
  • Engineer conversational experiences, knowledge, workflows, and agent capabilities using deterministic automation and bounded AI reasoning
  • Build documented actions, integrations, and templates serving multiple teams
  • Connect portfolio applications with enterprise systems through supported APIs and secure data exchange
  • Implement validation, monitoring, retries, and exception handling
  • Improve knowledge quality and implement permissions-aware retrieval grounded in authoritative information
  • Configure least-privilege roles, integration identities, and secrets management
  • Support access reviews and audit evidence while preserving segregation of duties
  • Test and govern AI workflows before release and monitor quality and adoption in production
  • Build human approval for sensitive actions, audit trails, and suspension mechanisms for faulty automation
  • Measure cycle time, hours released, adoption, rework, capacity released, and realized savings
  • 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
  • Maintain application inventory, dependencies, license usage, and renewal dates
  • Recommend application consolidation or retirement based on usage, cost, and business value
  • Mentor peers, review technical designs, and establish reusable engineering standards
  • Evaluate emerging AI capabilities and recommend roadmap improvements
  • 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 experience administering and engineering enterprise business applications
  • Hands-on Atlassian administration and automation experience, including Jira and Confluence
  • Experience with ADP or a comparable payroll or HR platform
  • Scripting and integration experience using Python, PL/SQL, JavaScript, REST APIs, or webhooks
  • Experience supporting integrations in production
  • Practical experience applying generative AI or agent tools to business workflows
  • Experience with evaluation, data access controls, and human oversight for AI workflows
  • Experience building secure, compliant applications and handling sensitive HR, payroll, and financial data
  • Familiarity with standards such as SOC 2
  • Experience with incident resolution, root-cause analysis, and technical documentation
  • Practical expertise in SDLC and ADLC, including Agile/SCRUM, testing, release management, and DevOps practices
  • 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
  • Required degrees must be earned at accredited institutions recognized by the Council for Higher Education Accreditation or equivalent
  • Preferred: Atlassian or ADP certifications
  • Preferred: Experience with enterprise low-code automation, knowledge and search quality, approved AI assistants, or reusable agent tools and actions
  • Preferred: Experience exposing enterprise actions to external AI agents through governed APIs or standards such as MCP, and with AI evaluation datasets
  • Preferred: Experience with license optimization, application consolidation, and integrating workforce applications with ServiceNow, identity, or collaboration platforms

Benefits

Comp & perks
  • 401(K) match
  • Adoption assistance
  • Parental leave
  • Tuition reimbursement
  • Comprehensive medical, dental, and vision coverage
  • Nonstandard benefits
  • Annual variable incentive of cash and equity between 7.5–15% of base salary