Principal Engineer & AI Lead, Quality Engineering"

Quick Facts

• Position: Principal Engineer, Quality
• Focus: Lead quality engineering strategy and test automation; drive AI-powered testing innovation
• Work location: Flexible if approved by the Company
• Compensation: $113,100.00 - $169,700.00; may be eligible for bonus and equity

Description

As a Principal Engineer, Quality, you will serve as a Quality Engineering lead within Product and Technology, driving a quality engineering strategy to ensure only thoroughly tested, high-performing software reaches production. This role designs robust automation frameworks, mentors teams, and influences quality practices across multiple Agile streams, while also contributing to AI-powered testing and automation innovation across the organization.

Responsibilities

• Lead and mentor organization-wide test automation efforts, ensuring best practices and scalability
• Create and implement test strategies for multiple teams, focusing on automation and efficiency
• Drive modern testing methodologies to shift testing left and improve development workflows
• Develop and report key quality metrics to stakeholders for transparency and accountability
• Design and build testing infrastructure and integrations for regression and integration testing
• Manage bug triage processes, prioritize issues, and oversee resolution of critical defects
• Evaluate and introduce new tools and methods to enhance automation productivity across the enterprise
• Contribute to the AI engineering vision and roadmap for Quality Engineering, helping architect how agentic and generative AI capabilities are embedded across the test automation ecosystem enterprise-wide
• Architect and productionize AI-driven testing systems (autonomous test generation, self-healing automation frameworks, intelligent defect triage, and predictive quality/risk analytics)
• Direct cross-functional integration of LLM- and agent-based systems into CI/CD and QE workflows (e.g., MCP-based agents, RAG pipelines, autonomous test agents)
• Define enterprise governance, evaluation, and risk frameworks for AI adoption in testing (model reliability, data privacy, hallucination mitigation, human-in-the-loop validation) and represent Quality Engineering in enterprise AI governance forums
• Evangelize and upskill the broader engineering organization on AI-augmented quality practices

Requirements

• Bachelor’s degree in Computer Science or related field with 7+ years of experience, or Master’s degree with 5+ years of experience
• 8+ years of experience in Quality Engineering with expertise in automation frameworks
• Advanced understanding of IT systems: system design, object-oriented concepts, databases, and programming fundamentals (HTML, JavaScript/TypeScript, Web Services)
• Proficiency in modern test automation tools
• Strong communication and organizational skills to influence strategic initiatives across diverse teams
• Ability to manage multiple work streams and deliver results in a fast-paced environment
• Demonstrated track record architecting and deploying AI/ML or generative AI systems in production software quality or testing environments
• Deep fluency with LLM architectures, agentic frameworks, and APIs (e.g., Anthropic Claude, OpenAI, GitHub Copilot), including advanced prompt engineering and evaluation methodology
• Currently authorized to work in the United States full-time; sponsorship not considered for this role

Benefits

• Paid sick, vacation, and holiday time (subject to state law)
• Sick time: up to 48 hours per year accrued on a per pay period basis
• Vacation: between 80 hours and 200 hours per year after a 90-day waiting period depending on years of continuous service
• Holidays: 6 paid scheduled holidays plus 1 floating holiday; Holiday Premium Pay if working a scheduled holiday due to business need
• Full-time salaried: paid time away with no specified limit as needed (subject to manager approval)
• Reasonable accommodation for the Job Application upon request