QA - Agentic SDLC

An Agentic SDLC QA (Quality Assurance) role focuses on governing AI-drivendevelopment lifecycles rather than manually executing test scripts. Professionals in thisspace write autonomous testing agents, engineer testing scenarios, and buildgovernance frameworks to validate software built by AI coding tools.Key ResponsibilitiesAgent Orchestration: Design, configure, and manage autonomous AI agents(e.g., QA.tech, Test IO, and Applitools) capable of crawling, modeling, andtesting applications independently.Goal-Directed Testing: Define test intent and constraints rather than rigid, manualtest scripts; evaluate how well autonomous agents handle edge cases and non-deterministic logic.SDLC Governance: Implement active runtime controls and guardrails to ensureAI-generated code passes security, compliance, and functional standards beforehitting production.Failure Analysis & Feedback: Train agents to analyze failure patterns, identifyroot causes, and iterate upon test sets without waiting for human intervention.Core RequirementsAI & Automation Expertise: Proven experience in designing QA frameworks andevaluating GenAI/AI accelerators for test case generation and defectmanagement.Technical Skills: Familiarity with modern test automation frameworks (e.g.,Playwright, Appium) paired with strong programming or scripting capabilities.Understanding of LLMs: Knowledge of prompt engineering, Retrieval-AugmentedGeneration (RAG), and context management for AI systems.Strategic Vision: Shift from "test execution" to "quality engineering strategy,"ensuring continuous testing aligns with rapid development velocity