Principal Engineer, AI/ML - Richmond, VA

8116 - Midtown Office W. Broad Street, Richmond, Virginia, 23220CarMax, the way your career should be · About this job · At CarMax, a Principal Engineer, Artificial Intelligence is a technologist and thought leader with domain-specific expertise in Generative AI. You should have ...

Job description

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

About this job

At CarMax, a Principal Engineer, Artificial Intelligence is a technologist and thought leader with domain-specific expertise in Generative AI. You should have extensive knowledge and experience with Machine Learning concepts, tools, and design patterns at enterprise scale. You should also be able to propose, architect, and implement AI based solutions as software services. You will play a critical role in capturing customer use cases, while shaping and executing a strategy to build an internal Generative AI framework for the adoption and the broad use across the enterprise.

Essential Responsibilities:

• Suggest, collect, and translate requirements into an effective feature roadmap for organization platform capabilities
• Evaluate and recommend tradeoffs of features to the platform that allow use case owners to refine output generation and new technology offerings in the space
• Be a key partner in driving direction and goals for the team, both in terms of individual project impacts but also overall standards for Generative AI utilization in the organization
• Lead process and technology teams in developing integration, end-to-end, and UAT test strategy as well as testing activities
• Lead escalation of production performance and evaluation issues that require in-depth knowledge of techniques such as prompt engineering, fine-tuning, and document embedding and retrieval
• Help drive the broader understanding of the use of Generative AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Lead, mentor, and develop other engineers using technical expertise, best practices and industry standards for Generative AI systems

Minimum Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master's Degree in Computer Science, Computer Engineering, or relevant technical field
• In depth experience using large language models (LLMs) with semantic search frameworks for chatbot implementations
• 7+ years of experience in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• In depth knowledge developing and debugging in Python, and experience with scripting languages such as shell scripts
• Experience communicating and working across functions to drive organization-wide solutions
• Ability to positively influence team norms, culture, and technical vision

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Experience developing, evaluating, and integrating continuous integration and deployment (CI/CD) of prompt engineering with feedback loops for Generative AI applications

Software Engineering Specific Qualifications and Requirements:

• Experience developing generative AI applications using Azure OpenAI Service
• Experience with information retrieval services such as Azure AI search
• Leveraging development tools to design prototyping, prompt engineering, testing, and evaluation of LLM-based applications (PromptFlow)
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience developing AI orchestration layers (Semantic Kernel)
• Managing the security, versioning, and observability across APIs
• In depth knowledge developing and debugging in Python
• Experience with scripting languages such as shell scripts

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

• Associates based in Richmond work onsite 5 days per week.
• Associates based in Plano work onsite 2 days per week.

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.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.