QA - Agentic SDLC

An Agentic SDLC QA (Quality Assurance) role focuses on governing AI-driven

development lifecycles rather than manually executing test scripts. Professionals in this

space write autonomous testing agents, engineer testing scenarios, and build

governance frameworks to validate software built by AI coding tools.

Key Responsibilities

• Agent Orchestration: Design, configure, and manage autonomous AI agents
  
  

(e.g., QA.tech, Test IO, and Applitools) capable of crawling, modeling, and

testing applications independently.

• Goal-Directed Testing: Define test intent and constraints rather than rigid, manual
  
  

test scripts; evaluate how well autonomous agents handle edge cases and non-

deterministic logic.

• SDLC Governance: Implement active runtime controls and guardrails to ensure
  
  

AI-generated code passes security, compliance, and functional standards before

hitting production.

• Failure Analysis & Feedback: Train agents to analyze failure patterns, identify
  
  

root causes, and iterate upon test sets without waiting for human intervention.

Core Requirements

• AI & Automation Expertise: Proven experience in designing QA frameworks and
  
  

evaluating GenAI/AI accelerators for test case generation and defect

management.

• 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-Augmented
  
  

Generation (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

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