Lead development and scaling of an enterprise AI platform: design tooling and frameworks, optimize GPU/CPU resources, build data pipelines, mentor engineers, enforce security and governance, and lead cross-functional AI initiatives to improve model performance and deployment.
Innovate in Charlotte
Thank you for dedicating your time and talent to Lowe's. We want to give you more opportunities to learn and grow, so if you find a position you're interested in below, we encourage you to apply!
Your Impact
The primary purpose of this role is to lead artificial intelligence (AI) engineering initiatives and the development of AI solutions that enable the integration and evolution of advanced machine learning (ML) models, including deep learning (DL) frameworks and large language models (LLMs). The Lead AI Engineer will be responsible for leading the advancement of model performance, implementing essential tools and frameworks, and optimizing compute and storage solutions to elevate AI technologies to new heights.
Work with a Winning Team
As part of a Fortune 500 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you'll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we've been in business for over 100 years, we've built an excellent track record of growth and success. There's peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you'll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.
What You Will Do
Minimum Qualifications
Preferred Skills/Education
Benefits
For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits
About Lowe's
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe's employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com .
Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Thank you for dedicating your time and talent to Lowe's. We want to give you more opportunities to learn and grow, so if you find a position you're interested in below, we encourage you to apply!
Your Impact
The primary purpose of this role is to lead artificial intelligence (AI) engineering initiatives and the development of AI solutions that enable the integration and evolution of advanced machine learning (ML) models, including deep learning (DL) frameworks and large language models (LLMs). The Lead AI Engineer will be responsible for leading the advancement of model performance, implementing essential tools and frameworks, and optimizing compute and storage solutions to elevate AI technologies to new heights.
Work with a Winning Team
As part of a Fortune 500 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you'll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we've been in business for over 100 years, we've built an excellent track record of growth and success. There's peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you'll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.
What You Will Do
- Leads the development of the AI platform and ensures the scalability of the platform accommodates a wide spectrum of AI models and integration of new AI advancements as APIs.
- Leads the architectural design, development, and implementation of sophisticated tools and frameworks that elevate ML experimentation and deployment, ensuring that the platform delivers high-end AI functionalities.
- Architects and orchestrates the management of graphics processing unit and central processing unit resources to enhance the performance of AI models while maximizing cost efficiency and resource utilization.
- Mentors and guides junior team members to ensure a seamless integration of AI models into the platform.
- Leads the creation and management of robust data movement strategies and pipelines, optimizing data flows to meet the requirements of intensive AI model training and inference processes.
- Leads initiatives for continuous improvement by evaluating platform performance analytics and gathering user feedback.
- Leads cross-functional teams, fostering a collaborative environment that merges deep technical knowledge with strategic business insights and a keen understanding of user needs.
- Champions the development and enforcement of rigorous security protocols and governance measures for the AI platform, ensuring data integrity and adherence to industry standards and best practices.
Minimum Qualifications
- Bachelor's degree in science, technology, engineering, math, or related field or equivalent years of experience in lieu of education requirement, if applicable
- 6 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master's or Doctorate degree), ML platform engineering, MLOps tools, and ML frameworks
- 6 years of programming experience in Java and/or Python
- 4 years of experience working with cross-functional partners
Preferred Skills/Education
- Master's degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
- 5 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI
- 6 years of Python programming experience.
- 2 years of experience in AI technology.
Benefits
- 401k with up to 4.25% match
- Discounted Employee Stock Purchase Plan (15% discount of strike price)
- Tuition-Free Education
- 10-week Maternity/Parental Leave
- 10% Associate Discount
For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits
About Lowe's
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe's employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com .
Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
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