About AutoZone

AutoZone is the USA’s leading retailer and a leading distributor of automotive replacement parts and accessories with more than 6,000 stores in US, Puerto Rico, Mexico, and Brazil. Each store carries an extensive line for cars, sport utility vehicles, vans and light trucks, including new and remanufactured hard parts, maintenance items and accessories.

We also sell automotive diagnostic and repair software through ALLDATA, diagnostic and repair information through ALLDATAdiy.com, automotive accessories through AutoAnything.com and auto and light truck parts and accessories through AutoZone.com.

Since opening its first store in Forrest City, Ark. on July 4, 1979, the company has joined the New York Stock Exchange (NYSE: AZO) and earned a spot in the Fortune 500.

AutoZone has been committed to providing the best parts, prices, and customer service in the automotive aftermarket industry. We have a rich culture and history of going the Extra Mile for our customers and our community. At AutoZone you’re not just doing a job; you’re playing a crucial role in creating a better experience for our customers, while creating opportunities to DRIVE YOUR CAREER almost anywhere! We are looking for talented people who are customer focused, enjoy helping others and have the DRIVE to excel in a fast-paced environment!

Position Summary

As an AI Engineer at AutoZone, you will play a crucial role in building and shaping the future of our organization. You will work alongside a talented team of AI and data professionals, utilizing advanced techniques in generative AI, LLMs, machine learning, and cloud platforms to streamline, automate, and optimize our operations. If you are passionate about solving complex problems, collaborating with others, and driving growth through innovation, we encourage you to apply and join our team at AutoZone.

Key Responsibilities

• Lead the implementation of Generative AI products, driving the successful launch of the first version to market and ensuring its alignment with the company's goals and vision.

• Train, fine tune, and deploy LLM solutions on our expansive proprietary data.

• Develop and implement RAG-based chatbots, utilizing advanced techniques like query rewriting, efficeint retrieval and re-ranking.

• Work with stakeholders throughout the organization to identify opportunities for leveraging AI to improve business processes.

• Collaborate cross functionally to deploy AI solutions and monitor outcomes.

• Provide mentorship and guidance to the team, fostering their professional growth and enhancing overall team performance

  Education and Experience

• Bachelor's or Master's degree in computer science, Software Engineering, or a related field.

• Typically requires minimum of 10 years of Industry experience with a strong focus on Information Retrieval, Large Language Models, NLP & NLU and Graph Neural Networks.

• Hands-on experience with both traditional keyword-based search technologies as well as modern search paradigm utilizing vector-based retrieval algorithms and search systems such as Elasticsearch or Solr.

• In-depth knowledge and experience with machine learning systems in production, particularly in the NLP/LLM field. Used LLM beyond hobbies. Had experiences in model fine-tuning and/or reward learning.

• Excellent programming skills with two or more of the following languages – Python, Java, TypeScript/Node & React.

• Familiarity with at least one major cloud platforms – GCP or Azure preferred.

• Self-driven and highly motivated to take ownership of projects and drive them to completion.

• Strong analytical and problem-solving skills, coupled with an unwavering attention to detail.

• A strong advocate of clean code

  Our Values

An AutoZoner Always...

• PUTS CUSTOMERS FIRST

• CARES ABOUT PEOPLE

• STRIVES FOR EXCEPTIONAL PERFORMANCE

• ENERGIZES OTHERS

• EMBRACES DIVERSITY

• HELPS TEAMS SUCCEED

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.