QA Agentic SDLC
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Monthly Salary:
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Job Summary
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. 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
Required Experience:
Unclear Seniority
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
