The primary purpose of this role is to contribute to developing advanced artificial intelligence (AI) solutions, supporting a variety of machine learning (ML) models, including deep learning (DL) frameworks and large language models (LLMs). The AI Engineer will apply foundational knowledge to assist in optimizing model performance, developing necessary tools and frameworks, and efficiently managing computing and storage resources. This role will harness AI platform capabilities and help accelerate the development of AI-driven products.
What You Will Do
- Develops and maintains AI platform, ensuring the platform meets functional requirements and performance criteria.
- Participates in the lifecycle of AI platform development, including ideation, prototyping, testing, deployment, and monitoring.
- Contributes to the design of scalable and robust infrastructure needed to support AI models in collaboration with infrastructure teams.
- Assists in the integration of AI capabilities into various products and platforms, ensuring smooth transitions and functionality.
- Contributes to peer code reviews, learning from senior team members, and adheres to best practices in AI development.
- Keeps relevant with the latest technologies and frameworks in AI, suggesting improvements and updates to existing systems.
- Supports the implementation of security and compliance measures within the AI development process, aligning with company policies and industry regulations.
Minimum Qualifications
- Bachelor's Degree in science, technology, engineering, math, or relevant field (or equivalent work experience in lieu of degree) and 2 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master's or Doctorate degree)
- 1 year of programming language experience
- 1 year of experience working with ML Operations tools
Preferred Skills/Education
- Master's Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
- 1 year of experience working with cross-functional partners
- 1 year of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI
About Lowe's
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. 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.
Top Skills
What We Do
It’s curious to think of innovation and stability co-existing. But we pair a 100-year track record of success with a hunger to do things differently. Everyone is in the work — tackling complex problems where your impact can build back or build up the communities we serve.
We fill our halls with curious minds from all walks of life. Our differences make us stronger, which is why our leaders build cultures of recognition and inclusion. You are heard, and your curiosities are celebrated and championed here.
Why Work With Us
We have built a space where the curious can move freely. Up in title, up in skills, to the side with teams, or back to try something completely new. We help you find your path — because when you win, we all win.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.


















