IT Software Engineer 4 (AI Architect for Testing)
Tasks
- Define AI effectiveness metrics for testing
- Define AI vision for testing
- Design AI enabled testing solutions
- Design and implement AI enabled test frameworks
- Establish AI governance for testing
- Evaluate and recommend AI ML and test automation tools
- Identify AI opportunities for QA activities
- Integrate AI into CI CD workflows
- Integrate LLMs with test repositories and CI platforms
- Lead AI testing pilots and scale rollout
- Mentor QA engineers and SDETs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Testing | Agile | Appium | Automated Test | Automated Test Maintenance | Azure DevOps | CI/CD | Cause analysis | Cypress | Data Management | Defect prediction | Enterprise Architecture | Exploratory Testing | Functional testing | GitHub | GitLab | JUnit | Java | JavaScript | Jenkins | Jira | LLM | LLMOps | Language Processing | Lean | Load Testing | Log Analysis | MLOps | Machine Learning | Microservices | Model Evaluation | Natural Language | Natural Language Processing | Observability | Performance Testing | Playwright | Prompt engineering | Pytest | Python | Quality Engineering | Retrieval-Augmented Generation | Risk-Based Testing | Risk-based | Root Cause Analysis | Root cause | SQL | Security Testing | Security testing support | Selenium | Software testing | Test Data | Test Data Management | Test analytics | Test automation | Test maintenance | TestNG | Testing support | UI Automation | Vector Databases
Education
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