8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220
CarMax, the way your career should be!

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 4+ years of experience in designing and developing on distributed architectures (microservices and Kubernetes);
• Leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• Excellent communication skills, able to adapt messaging to technical and non-technical audiences
• Ability to positively influence team norms, culture, and technical vision

PREFERRED QUALIFICATIONS:

• Master’s Degree in Computer Science, Computer Engineering, or a related field
• Hands-on experience on building LLM based agents and MCP
• Familiarity with continuous evaluation frameworks and online/offline A/B testing

SOFTWARE ENGINEERING SPECIFIC QUALIFICATIONS AND REQUIREMENTS:

• Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Python, including writing production level code (services and applications)
• DevOps practices, testing frameworks, and CI/CD;
• Machine-learning or AIaaS with demonstrated knowledge or projects;
• MLOps and industry-standard machine-learning Python libraries;
• Model Development and Deployment (MLFlow, Azure ML or Sage Maker)Data Science Libraries and Algorithms (TensorFlow, Scikit or PyTorch)
• 
  Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.
  Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center or Dallas Technology Hub in Plano, TX and have a Hybrid work arrangement.

• Develop, evaluate, and deploy AI and data science based models, utilizing state-of-the-art machine learning tools in cloud with streaming data
• Utilize software and cloud engineering skills to turn machine learning models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience
• Articulate potential challenges of building scalable ML applications to engineering teams and leadership, and offer creative, technically sound solutions
• Build and maintain robust monitoring and evaluation pipelines to validate and continuously optimize the performance of data science models and pipelines
• Assist in the growth of other engineers by sharing technical expertise, best practices, and emerging industry standards to understand customer journey and omni channel communication
• Ensure high quality standards and clean code practices by performing thorough peer reviews of code pull requests