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Granicus

Empowering a Modern Digital Government.

Automation Engineer 3 – Technical Support

QA Automation EngineerQA Automation EngineerFull TimeRemoteSeniorTeam 501-1,000Since 1999H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

53 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishCloudJavaScriptPythonSQL

Job Description

Automation Engineer 3 – Technical Support

Granicus

• The AI Automation Engineer 3, Support Systems designs, builds, tests, and optimizes AI-driven support workflows across Forethought, Salesforce Service Cloud, Knowledge, Jira, and related support systems. • Improve customer experience by enabling faster, more accurate, and more effective AI-supported support interactions. • Increase automation effectiveness through higher AI resolution rates, better deflection outcomes, and reduced manual triage. • Strengthen support operations by improving routing accuracy, escalation handling, and safe human handoff behavior. • Enhance decision-making with measurable reporting and performance insights across AI workflows and support systems. • Help ensure scalable, governed, and production-ready AI automation through strong testing, auditability, and privacy-conscious controls. • Design AI agents and workflows for intake, triage, routing, case qualification, resolution, escalation, and customer updates. • Build, test, and continuously improve Forethought Autoflows, intents, fallback logic, Solve, Triage, Assist, Discover, and Agent QA use cases. • Partner with Business Systems to connect AI outputs to Salesforce fields, queues, case statuses, contact validation, entitlements, and reporting. • Create and configure API-based workflows, webhooks, Salesforce Flows, low-code automations, and system integrations. • Develop test sets and UAT plans to validate AI responses, routing accuracy, grounding, customer experience, and safe handoff behavior. • Analyze case data, customer sentiment, fallback patterns, and AI failures to identify knowledge gaps and automation opportunities. • Monitor AI performance and produce recurring reporting on AI resolution, deflection, fallbacks, misroutes, reopens, and customer impact. • Implement governance controls for privacy, sensitive data, CJI or CJIS risk signals, auditability, human handoff, and rollback readiness. • Partner with Support, Support Operations, Product, Engineering, Customer Success, Business Systems, Knowledge, and vendors to move AI initiatives from idea to production.

Job Requirements

  • Working knowledge of Salesforce Service Cloud, including cases, queues, fields, flows, statuses, reports, and user permissions.
  • Understanding of AI agents, LLM workflows, prompt behavior, grounding, fallback logic, testing, and production monitoring.
  • Hands-on experience with APIs, webhooks, workflow automation, and low-code or pro-code integration patterns.
  • Strong analytical skills with the ability to identify trends across case data, customer sentiment, support volume, and automation performance.
  • Strong QA mindset, including experience defining test cases, UAT plans, acceptance criteria, and release readiness.
  • Ability to document workflows, requirements, runbooks, and decision logic clearly for both technical and non-technical audiences.
  • Strong cross-functional communication skills and the ability to partner effectively with Support, Product, Engineering, Business Systems, and vendors.
  • Technical capability in Python, JavaScript, SQL, or analytics tools for coding, validation, reporting, and automation support.
  • Experience building or supporting automations, integrations, AI workflows, support systems, or customer operations platforms.
  • Experience with Forethought or comparable AI customer support platforms.
  • Experience with Salesforce Flow, Apex, MuleSoft, external services, or similar integration frameworks.
  • Experience with Jira workflows, bug intake, product escalation, and engineering handoff processes.
  • Experience with knowledge management, KCS, support content quality, or self-service optimization.
  • Experience in SaaS technical support, customer support operations, or contact center technology.
  • Familiarity with privacy, compliance, sensitive data handling, or CJIS-related control concepts.

Benefits

  • Employee Resource Groups to encourage diverse voices
  • Coffee with Mark sessions
  • Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.

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