Principal Engineer & AI Lead, Quality Engineering

CarMax
Richmond, Virginia
Workplace: RemoteFull timeUSD 113,100 - 169,700 annuallyFunction: Quality & Regulatory (Non-Software)Experience: 5+ yearsEducation: bachelorsSkills: ["Communication","Organizational skills","Mentoring","Influencing","Managing multiple work streams"]

Lead CarMax’s Quality Engineering strategy within Product and Technology, ensuring only thoroughly tested software reaches production. Own test automation efforts across multiple Agile streams, modernize testing practices, and build testing infrastructure for regression and integration. Drive AI-powered testing by architecting autonomous test generation, self-healing automation, intelligent defect triage, and predictive risk analytics. Partner on LLM/agent integrations into CI/CD and define governance for AI adoption in testing.

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FursaFursa
CarMax
CarMax
2 days ago

Principal Engineer & AI Lead, Quality Engineering

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Last checked: 11 hours agoStatus: Live

Job Summary

Lead CarMax’s Quality Engineering strategy within Product and Technology, ensuring only thoroughly tested software reaches production. Own test automation efforts across multiple Agile streams, modernize testing practices, and build testing infrastructure for regression and integration. Drive AI-powered testing by architecting autonomous test generation, self-healing automation, intelligent defect triage, and predictive risk analytics. Partner on LLM/agent integrations into CI/CD and define governance for AI adoption in testing.
Location: Richmond, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Quality & Regulatory (Non-Software)
Seniority: Sr. Manager level

Key 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.
  • •Shift testing left and improve development workflows using modern testing methodologies.
  • •Design and build testing infrastructure and integrations for regression and integration testing.
  • •Architect and productionize AI-driven testing systems (autonomous test generation, self-healing frameworks, intelligent defect triage, and predictive quality/risk analytics) and integrate LLM/agent systems into CI/CD and QE workflows.

Pay and Benefits

Salary: USD 113,100 - 169,700 annually

Key Requirements

  • •Bachelor’s degree in Computer Science or related field with 7+ years’ experience, or a Master’s degree with 5+ years’ experience.
  • •8+ years of Quality Engineering experience with expertise in automation frameworks.
  • •Advanced understanding of IT systems, including system design, object-oriented concepts, databases, and programming fundamentals (HTML, JavaScript/TypeScript, Web Services).
  • •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 prompt engineering and evaluation methodology.
Experience:5+ yearsQuality engineeringTest automationAI/MLGenerative AILLMAgentic systemsSoftware delivery
Education:Bachelor's in Computer Science or related field
Skills:CommunicationOrganizational skillsMentoringInfluencingManaging multiple work streams
Tech Stack:JavaScriptTypeScriptHTMLWeb ServicesNodeJSWebDriverIOPlaywrightC#REST APICI/CDLLMRAGVector databasesPythonGitHub CopilotAnthropic ClaudeOpenAIAzureC# .NET CoreMCP-based agents

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

CarMax
Operates the largest used-car retail chain in the United States, selling and financing pre-owned vehicles through a no-haggle customer experience. Also offers vehicle buying, appraisal, service, and related automotive solutions.
Industry: Automotive
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Richmond, United States
Founded: 1993
WebsiteLinkedIn