Chief Agentic Quality Architect

EVA is in the business of acquiring enterprise software companies and transforming them into AI-native, profitable, scalable businesses. By prioritizing Customer Success, we enable companies with strong product-market fit to emerge as market leaders through sustained product innovation and high-quality professional services delivered via our global team. We are a remote-first company and our team is spread across the globe.

Why Join EVA

We offer high ownership, flexibility, and impact in a fast-moving environment; the opportunity to work across multiple products, industries, and technologies; growth pathways across engineering, product, operations, and leadership; and remote-first flexibility.

Role Overview

As our 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 environment 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, auditing the existing test estate across unit, integration, API, UI, sanity, and regression layers. Evaluate current QA tooling and automation maturity, identifying systemic gaps and producing a current state and gap coverage report. Define missing test cases and user journeys, prioritising end-to-end automation across critical business flows with an emphasis on left-heavy coverage. Architect and own a phased quality engineering roadmap across two-week, one-month, and three-month horizons. Use AI agents to transform business requirements and manual test cases into executable Playwright or Cypress scripts, and implement tools that autonomously generate test data and edge-case scenarios. Deploy self-healing automation frameworks that detect UI changes and update test selectors without human intervention. Design a regression strategy tuned to catch non-deterministic issues in AI-generated code, and define quality gates to validate autonomous agent outputs. Hire and mentor QA engineers skilled in AI-assisted testing, instilling a quality-first engineering culture embedded throughout the development lifecycle.

Required Skills

What We're Looking For

Expert-level proficiency in Playwright, Cypress, or Selenium automation frameworks. Hands-on experience using LLMs such as Claude and GPT-4, and agentic frameworks to generate code or automate workflows. Deep understanding of integrating quality gates into AWS-based CI/CD pipelines or similar environments. Ability to design behavioral snapshots to safeguard critical business logic during rapid transformations. 10+ years in QA automation engineering, SDET, or test architecture roles.

Nice to Have

Experience in remote-first or globally distributed engineering teams. Background in SaaS scale-ups, legacy modernization projects, or PE-backed environments. Exposure to performance, load, or security testing tooling. Comfort operating in high-ambiguity, high-ownership environments with evolving requirements.