About Inizio Evoke
In the journey of life, your career should make a difference.
We believe everyone has a purpose at Evoke, and it's everyone's role to make health more human™. When you join Inizio Evoke, you become part of a dynamic global healthcare platform. Organized by global practice areas and specialty agencies, we provide access to a uniquely comprehensive offering to solve the most complex of challenges in today's healthcare market.
We are seeking a detail-oriented QA Engineer to ensure the quality, accuracy, and reliability of digital marketing deliverables and AI-powered applications. This role will be responsible for end-to-end quality assurance across production outputs, including HTML emails, digital banners, websites, and AI-generated output. The ideal candidate combines traditional QA expertise with an understanding of AI validation, accessibility standards, and automated testing practices.
Key Responsibilities
Production & Digital Asset Quality Assurance
- Own quality sign-off for production-ready deliverables, ensuring outputs meet functional, visual, brand, and compliance standards.
- Test HTML email campaigns across major email clients, browsers, and devices to ensure consistent rendering and user experience.
- Validate digital banners for correct rendering, functionality, click-through behavior, and tracking implementation.
- Review websites and landing page components for responsiveness, cross-browser compatibility, and accessibility compliance.
- Identify, document, and track defects through resolution using established bug management processes.
AI Application Validation
- Develop and execute test cases for AI-powered applications and other rapid development frameworks.
- Validate Large Language Model (LLM) outputs against brand guidelines, regulatory requirements, compliance standards, and business rules.
- Perform structured testing of AI workflows, prompts, and generated content to ensure accuracy, consistency, and reliability.
- Verify API responses, JSON outputs, and integrations supporting AI applications.
Regression & Release Testing
- Plan and execute regression testing cycles as applications, AI models, prompts, and tools are updated.
- Collaborate with developers, product owners, strategists, and creative teams to ensure defects are resolved before release.
- Contribute to continuous improvement of QA processes, test coverage, and automation opportunities.
Required Skills & Qualifications
- 3–5 years of experience in Digital Production QA.
- Experience testing web applications, marketing technology platforms, or digital marketing assets.
- Cross-browser and cross-device testing.
- Email testing tools such as Litmus or Email on Acid.
- Accessibility testing and WCAG compliance validation.
- Test case creation, execution, and documentation.
- Defect tracking and management using Workfront, Jira, Linear, or similar tools.
- API and JSON response validation.
- Regression testing methodologies.
- Basic automation testing experience using Selenium or Playwright.
Preferred Skills
- Experience validating AI-generated content and LLM outputs.
- Understanding of prompt-based applications and AI workflow testing.
- Ability to evaluate AI outputs against brand, compliance, and quality standards.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Skills Required
- 3-5 years of experience in Digital Production QA
- Experience testing web applications, marketing technology platforms, or digital marketing assets
- Cross-browser and cross-device testing
- Email testing tools such as Litmus or Email on Acid
- Accessibility testing and WCAG compliance validation
- Test case creation, execution, and documentation
- Defect tracking and management using Workfront, Jira, Linear, or similar tools
- API and JSON response validation
- Regression testing methodologies
- Basic automation testing experience using Selenium or Playwright
- Experience validating AI-generated content and LLM outputs
- Understanding of prompt-based applications and AI workflow testing
- Ability to evaluate AI outputs against brand, compliance, and quality standards
