7 дней назад
Principal Engineer & AI Lead, Quality Engineering (AI)
113 100 - 169 700$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Engineer & AI Lead, Quality Engineering (AI): Building scalable test automation infrastructure and AI-driven quality systems for CarMax's in-store applications with an accent on autonomous test generation, self-healing frameworks, and intelligent defect triage. Focus on integrating LLM- and agent-based systems into CI/CD and Quality Engineering workflows, establishing AI governance, and improving predictive quality analytics at enterprise scale.
Location: Remote within the United States. Work location is flexible if approved by . Applicants must be authorized to work in the United States on a full-time basis; visa sponsorship is not available.
Annual salary: $113,100–$169,700, with potential bonus and equity eligibility.
Company
is a large used-car retailer with more than 250 locations and over 25,000 associates, combining automotive retail with technology-driven customer experiences.
What you will do
- Lead and mentor organization-wide test automation efforts and establish scalable quality engineering practices.
- Create test strategies for multiple Agile teams, promote shift-left testing, and improve development workflows.
- Design testing infrastructure and integrations for regression and integration testing, while managing defect triage and resolution.
- Architect and productionize AI-driven testing systems, including autonomous test generation, self-healing automation, intelligent defect triage, and predictive quality analytics.
- Integrate LLM- and agent-based systems, including MCP-based agents, RAG pipelines, and autonomous test agents, into CI/CD and Quality Engineering workflows.
- Define AI governance, evaluation, privacy, reliability, hallucination-mitigation, and human-validation frameworks, while upskilling engineering teams.
Requirements
- Bachelor’s degree in Computer Science or a related field with 7+ years of experience, or a master’s degree with 5+ years of experience.
- 8+ years of Quality Engineering experience with expertise in automation frameworks and modern testing tools.
- Advanced knowledge of system design, object-oriented concepts, databases, programming fundamentals, HTML, JavaScript or TypeScript, and web services.
- Production experience architecting and deploying AI/ML or generative AI systems for software quality or testing.
- Deep knowledge of LLM architectures, agentic frameworks, APIs, prompt engineering, and evaluation methodologies.
- Current authorization to work full-time in the United States is required.
Nice to have
- Node, C#, TypeScript, WebDriverIO, Playwright, .NET Core, Azure, REST API testing, and API design.
- Experience scaling AI agents or copilots in CI/CD and enterprise Quality Engineering pipelines.
- Experience with RAG pipelines, vector databases, and Python-based ML tooling for testing or quality analytics.
- Experience applying AI/ML to defect prediction, test prioritization, or coverage optimization.
Culture & Benefits
- Flexible remote work arrangement subject to company approval.
- Paid sick, vacation, holiday, bereavement, and other leave, with terms depending on employment classification and tenure.
- Inclusive workplace with a focus on training, career growth, and diversity.
- Full-time salaried associates receive paid time away as needed, subject to manager approval.
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