Manager, AI Platform Engineering

🕒 2 days ago

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform. • Enable scalable, secure, and high-impact AI capabilities across the organization. • Oversee a team of engineers to build and operate GenAI platform services, agentic workflows, and multi-model orchestration. • Partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities. • Ensure alignment with security, privacy, and governance standards. • Collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.

🎯 Requirements

• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • Mastery of an object-oriented programming language (preferably Java) • 8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises. • Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems. • Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments. • Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience. • Proven track record of managing complex technical projects and leading junior engineering teams. • Deep experience with ad tech, streaming media platforms, and digital content delivery. • Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday). • Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment. • Excellent problem-solving and analytical skills. • Strong leadership and mentoring abilities.

🏖️ Benefits

• health care benefits • 401K • ESPP • paid time off • success sharing bonus