AI Test Architect Duck Creek (Policy & Billing/Payments)
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Job Details
Skills
- API
- Artificial Intelligence
- playwright
- duck creek
Summary
Job Title: AI Test Architect Duck Creek (Policy & Billing/Payments)
Location: Cleveland, OH (Onsite/Hybrid)
Employment Type: Full-Time / Contract
Company: Virtualan Software, LLC
Job Summary
We are seeking a highly experienced AI Test Architect with strong expertise in Duck Creek Policy and Billing/Payments modules. This role will focus on designing and implementing AI-driven testing strategies, building intelligent automation frameworks, and ensuring high-quality delivery across Duck Creek implementations. The ideal candidate will bring a combination of domain expertise, technical leadership, and hands-on experience in AI-enabled quality engineering.
Key Responsibilities
Test Architecture & Strategy
- Design and implement scalable, AI-driven test automation frameworks for Duck Creek applications
- Define overall test strategy, architecture, and QA best practices for Policy and Billing systems
- Leverage AI techniques such as predictive defect analysis, self-healing automation, and intelligent test generation
Duck Creek Domain Expertise
- Work extensively with Duck Creek Policy Administration and Billing/Payments modules
- Develop and execute test scenarios across:
- Policy lifecycle management
- Underwriting workflows
- Billing cycles and payment processing
- Integrations with external insurance systems
- Validate configurations, business rules, and rating engines within Duck Creek
Automation & AI Integration
- Build and enhance AI-enabled test automation frameworks using modern tools
- Implement AI capabilities for:
- Automated test case generation
- Test optimization and prioritization
- Defect prediction and analysis
- Test data generation
- Integrate automated testing into CI/CD pipelines for continuous testing
Quality Engineering
- Define and manage test coverage across functional, regression, integration, and performance testing
- Collaborate with development, DevOps, and business teams to ensure quality across releases
- Establish quality metrics, reporting standards, and dashboards
Leadership & Collaboration
- Lead and mentor QA and automation teams
- Collaborate with architects and business stakeholders to align testing strategies with business goals
- Drive adoption of AI practices within QA and testing processes
Required Qualifications
- 10+ years of experience in Software Testing / Quality Engineering
- 5+ years of hands-on experience with Duck Creek platform
- Strong expertise in:
- Duck Creek Policy Administration
- Duck Creek Billing/Payments
- Proven experience designing enterprise-level test automation frameworks
- Hands-on experience with AI-driven testing tools or ML-based QA solutions
- Strong knowledge of:
- API and integration testing
- Test data management
Technical Skills
- Duck Creek Platform: Policy & Billing modules
- Automation Tools: Selenium, Cypress, Playwright
- Programming: Java or Python
- AI Testing Tools: Testim, Mabl, Functionize (or similar/custom ML frameworks)
- API Testing: Postman, RestAssured
- CI/CD: Jenkins, GitHub Actions, Azure DevOps
- Cloud Platforms: AWS, Azure
Preferred Qualifications
- Experience in the Insurance domain (P&C preferred)
- Understanding of AI/ML concepts applied to software testing
- Experience with BDD frameworks (Cucumber, SpecFlow)
- Familiarity with performance testing tools (JMeter, Gatling)
- Dice Id: 91164964
- Position Id: 8920183
- Posted 1 day ago
Company Info
Virtualan Software is a prominent IT services and consulting firm that excels in various technological domains.
We specialize in delivering innovative IT solutions that empower businesses to achieve their goals. Our expertise spans a wide range of technologies, ensuring that we can provide the right solution for your unique needs.
Virtualan Software specializes in developing products using Low Code Technology that is designed to streamline and automate various testing and development processes. All products are designed to be cloud-ready, ensuring seamless integration and deployment in cloud environments.
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