Senior QA Specialist — Web Testing and AI Enablement

We are looking for a versatile Senior QA Specialist with 7+ years of experience who combines strong manual website testing skills with practical experience using AI tools to improve QA workflows and help teammates develop their skills.

Our team currently performs testing manually. You will initially spend a significant portion of your time planning and executing manual tests while identifying opportunities to improve how we work. Alongside your testing responsibilities, you will build and validate AI-assisted solutions, implement useful automation, and train the team to use these tools effectively.

As reliable solutions are adopted, some repetitive activities will become automated. Manual testing will remain an ongoing responsibility, particularly for exploratory testing, usability, accessibility, complex scenarios, and work that requires human judgment. The balance between testing and improvement work will evolve with project needs and the reliability of the solutions you implement.

About our QA Craft

Our QA craft helps ensure the quality, reliability, usability, and accessibility of BusyQA solutions across the omnichannel ecosystem. As part of the Omnichannel Enablement Technology team, we collaborate across design, development, deployment, and ongoing support, combining hands-on testing with automation and AI to deliver high-quality experiences for healthcare brands, patients, and professionals.

Responsibilities

Manual website testing

• Plan and execute functional, exploratory, regression, responsive, and cross-browser testing across desktop and mobile experiences.

• Test website content, navigation, forms, integrations, and key user journeys against requirements and designs.

• Perform accessibility testing using automated checks and manual techniques, including keyboard navigation and screen readers.

• Create and maintain test plans, test cases, and clear defect reports with reproducible steps and supporting evidence.

• Investigate issues using browser developer tools and collaborate with developers to verify fixes.

• Communicate testing progress, coverage, release risks, and outstanding issues.

• Manage testing across multiple projects and changing priorities.

• Maintain manual testing coverage while new AI-assisted solutions and automation are developed, validated, and introduced.

AI implementation and automation

• Identify repetitive or time-consuming QA activities where AI tools or automation could improve efficiency, consistency, or coverage.

• Propose practical improvements, build working pilots, evaluate their results, and implement solutions that demonstrate value.

• Use tools such as Claude, Codex, or comparable AI assistants to support test scenario creation, edge-case analysis, test data preparation, scripting, and defect investigation.

• Build, troubleshoot, and maintain testing utilities and automated browser checks where appropriate.

• Review and validate AI-generated test cases, findings, and code before relying on them.

• Determine which activities should be automated, supported by AI, or kept manual based on risk, reliability, maintenance effort, and the judgment required.

• Document implemented solutions so teammates can use and maintain them.

• Measure whether improvements save time, improve coverage, or reduce repeated work.

• Follow company requirements for confidential information, client data, and approved AI tools.

Team training and collaboration

• Train and mentor QA teammates through demonstrations, hands-on sessions, pairing, and practical guides.

• Help colleagues use AI tools effectively, provide useful context, and verify generated outputs.

• Explain the strengths and limitations of each solution, including when manual review is required.

• Collaborate with QA, development, design, and project management to prioritize improvements that address real project needs.

• Gather feedback from teammates and refine tools and workflows to support consistent adoption.

Qualifications

Required experience and skills

• Seven or more (7+) years of hands-on QA experience testing websites and web applications, or equivalent demonstrated experience.

• Strong skills in manual, exploratory, regression, responsive, cross-browser, and accessibility testing.

• Practical experience using AI assistants in QA, development, or related technical workflows.

• Examples of AI-assisted improvements you have personally implemented, including how you v…