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. 

Where You’ll Be

Associates are required to relocate to the Lowe's Tech Hub Charlotte NC to foster collaboration and support. The ideal candidate must be willing to work in the office at our Charlotte Tech Hub, office location, 5 days per week. Most business meetings are planned around the Eastern time zone

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 and evolution of the AI platform, ensuring it is scalable, reliable, and capable of supporting a broad range of AI models and emerging AI capabilities through reusable APIs.
• Leads the architecture, design, development, and implementation of tools and frameworks that accelerate ML experimentation, model deployment, and production-grade AI capabilities.
• Architects and manages GPU and CPU compute resources to optimize model performance, cost efficiency, capacity planning, and resource utilization.
• Mentors and guides engineers, data scientists, and AI specialists to enable seamless, secure integration of AI models into the platform.
• Leads the design and operation of robust data movement strategies and pipelines that support high-volume model training, evaluation, inference, and feedback loops.
• Drives continuous platform improvement through performance analytics, reliability metrics, user feedback, and measurable adoption outcomes.
• Leads cross-functional technical initiatives, combining deep AI engineering expertise with strategic business context and user needs.
• Champions security, governance, and responsible AI practices, ensuring data integrity, access controls, compliance, model risk management, and alignment with enterprise standards.
• Defines scalable AI/ML platform architecture, including model integration patterns, reusable APIs and frameworks, enterprise design standards, and reference implementations.
• Leads LLM and agentic AI engineering practices, including RAG, tool and MCP integration, agent orchestration, structured outputs, context engineering, guardrails, evaluation, and production observability.
• Establishes MLOps and LLMOps standards for experimentation, deployment, model and prompt versioning, monitoring, drift and quality evaluation, CI/CD, incident response, and rollback.
• Raises engineering quality through specification-driven development, automated testing, observability, architecture and code reviews, documentation, and rigorous validation of AI-generated outputs.
• Provides technical leadership through architecture reviews, engineering mentorship, cross-functional influence, roadmap shaping, and translation of business problems into measurable AI platform outcomes..

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.
• A minimum of 3 years of experience in AI technology outside of educational training preferred.

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 year 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. Lowe’s is a core value S&P 500 equity stock and a dividend aristocrat. 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.