Senior Software Engineer – Marketing Technology

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The Home Depot

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1978

🏗️ Construction

📦 Logistique

🛒 Commerce de détail

💰 Debt Financing en 2007-07

Construction • Logistics • Retail

The Home Depot est un leader dans la vente de détail dédiée à l'amélioration de l'habitat, offrant une large gamme de matériaux de construction, de produits pour l'amélioration de la maison, de produits pour le jardinage et de services associés. L'entreprise exploite à la fois des magasins physiques et une plateforme en ligne, fournissant des solutions complètes pour les amateurs de bricolage, les entrepreneurs professionnels et les propriétaires. The Home Depot s'engage en faveur de la diversité, de l'équité et de l'inclusion, offrant des opportunités d'emploi et des avantages à une main-d'œuvre diversifiée. De plus, l'entreprise accorde une grande importance au service client et à l'implication des employés pour maintenir sa position de leader de confiance dans le secteur de l'amélioration de l'habitat.

Description

• Design, build, and deploy scalable multi-agent systems and orchestration layers for autonomous business planning, content generation, and execution • Drive prioritized enterprise AI use cases from prototypes into stable, high-throughput production solutions • Integrate model governance, observability, data protection, and ethical AI validation into the model lifecycle • Connect autonomous AI agents and subagents with enterprise databases and MarTech platforms to eliminate manual process friction • Architect Retrieval-Augmented Generation pipelines, semantic caching, and vector database structures • Develop automated functional, regression, and destructive stress testing for non-deterministic AI outputs and multi-agent systems • Partner with internal TechOps to build self-healing automation loops for incident detection and automated triage • Collaborate in agile processes and with Product Teams to make user stories valuable, developer-ready, understandable, and testable • Mentor junior engineers and lead technical discussions • Provide guidance on modern software development frameworks and participate in architectural design reviews

🎯 Exigences

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • 3–6 years of professional software engineering experience, emphasizing distributed systems, AI/ML application architecture, or intelligent workflow automation • Proficiency in Python, Java, or Go • Hands-on experience building multi-agent systems or using agent orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel • Deep understanding of LLMs, prompt engineering, vector databases, and embedding techniques • Experience with AI observability and evaluation systems, including model drift, latency, costs, hallucination rates, and agent-to-agent performance • Experience with MLOps pipelines and cloud-native AI infrastructure in AWS, GCP, or Azure • Familiarity with enterprise data streaming, API management, and integration layers connecting AI agents to CDPs, CRMs, and content management systems • Understanding of enterprise software design patterns, microservices architecture, and Git • Exposure to security frameworks, ethical AI guidelines, data governance, privacy protection, and regulatory model compliance • Proven track record of translating complex, ambiguous business requirements into technical architectures • Experience mentoring junior engineers and leading architectural design reviews across cross-functional technology teams • Bachelor's degree or equivalent degree in a job-related field

🏖️ Avantages

• No travel required