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Job Title: AI Test Automation Engineer (AI Tosca)
Location: Charlotte, NC (Onsite)
Job Overview
We are seeking an experienced AI Test Automation Engineer with strong expertise in Tosca and AI-driven testing platforms. The ideal candidate will be responsible for designing, developing, and executing intelligent test automation solutions to improve quality, efficiency, and scalability across enterprise applications.
Key Responsibilities
Job Title: AI Test Automation Engineer (AI Tosca)
Location: Charlotte, NC (Onsite)
Job Overview
We are seeking an experienced AI Test Automation Engineer with strong expertise in Tosca and AI-driven testing platforms. The ideal candidate will be responsible for designing, developing, and executing intelligent test automation solutions to improve quality, efficiency, and scalability across enterprise applications.
Key Responsibilities
- Design and implement automated testing solutions using Tricentis Tosca.
- Leverage AI-driven testing capabilities to enhance test coverage, defect prediction, and test optimization.
- Develop, maintain, and execute automated test suites for web, API, and enterprise applications.
- Collaborate with development, QA, and business teams to understand requirements and define testing strategies.
- Analyze test results, identify defects, and work closely with stakeholders to ensure quality deliverables.
- Support continuous integration and continuous testing initiatives within Agile environments.
- Drive automation best practices and contribute to process improvements across testing teams.
- Participate in test planning, estimation, risk assessment, and release validation activities.
- Strong hands-on experience with Tricentis Tosca.
- Experience with AI-driven testing platforms, intelligent automation, or AI-assisted quality engineering solutions.
- Solid understanding of software testing methodologies, automation frameworks, and QA processes.
- Experience testing enterprise applications, APIs, and integrated systems.
- Knowledge of Agile/Scrum development methodologies.
- Strong analytical, troubleshooting, and communication skills.
- Prior experience working with Duke Energy projects or environments.
- Experience with utility, energy, or regulated industry clients.
- Exposure to CI/CD tools and DevOps practices.
- Familiarity with enterprise test management and defect tracking tools.