Lead AI Engineer - AI Platform

** 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…