As Chief Agentic Quality Architect, you will orchestrate the transition from traditional scripted testing to an AI-augmented quality ecosystem. Your primary goal is to leverage agentic AI tools to generate, execute, and maintain high-fidelity test suites that keep pace with a development setting where AI agents are writing a significant portion of the production code.
WHAT YOU'LL DO
- Take ownership of a new product or suite of products as a hands-on quality leader. Conduct a comprehensive audit of the existing test estate across all layers — unit, integration, API, UI, sanity, and regression — evaluating depth, coverage, and reliability of each suite.
- Evaluate the current QA tooling, frameworks, and automation maturity against company quality benchmarks and coverage expectations. Identify systemic gaps, test debt, and high-risk areas with no automated coverage.
- Produce a Current State & Gap Coverage Report that maps existing tooling, highlights missing coverage domains,
and recommends the adoption tooling needed to close the gaps — the baseline for every roadmap that follows.
- Define missing test cases and user journeys. Prioritise end-to-end automation across critical business flows using agentic automation patterns, with a deliberate emphasis on left-heavy coverage — maximising unit and integration depth first, and extending rightward through black-box UI and regression testing.
- Architect and own the phased quality engineering roadmap, structured as three delivery horizons:
- Two-Week Plan : Complete the current-state assessment; identify the highest-risk coverage gaps; stand up quick-win automation on the most critical user journeys; evaluate and select the tooling to be adopted.
- One-Month Plan : Core regression coverage established across primary domains; CI/CD quality gates operational and integrated into the development pipeline; agentic test generation producing its first validated suites.
- Three-Month Plan : End-to-end agentic automation live
📌 Agentic Automation Architect (Pune)
🏢 Hyrhub
📍 Pune
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