Cybersecurity AI Engineer II - ML & Cloud

The Home Depot

United States

Remote

USD 90,000 - 140,000

Full time

14 days+

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Job summary

The Home Depot is seeking a Cybersecurity Software Engineer II to design and develop AI-powered security solutions protecting enterprise systems, applications, and data. You will leverage cloud technologies, modern software practices, and emerging AI frameworks to build secure, scalable tools that enhance cybersecurity capabilities and support business objectives across the organization.

Preferred qualifications include 1-3 years of software engineering experience, Python and Java, AI agent

Qualifications

1-3 years of relevant software development or engineering experience.
Experience programming in Python and at least one object-oriented programming language (Java preferred).
Experience building agentic AI systems - multi-agent orchestration, tool use, and workflow control using LangChain/LangGraph, Google ADK, or similar.
Experience developing or integrating MCP servers and clients to expose internal tools and data sources to AI agents.
Experience building retrieval-augmented generation (RAG) systems - document ingestion and chunking, embeddings, vector search, grounding responses in enterprise data.
Experience with AI evaluation and guardrails - building eval harnesses, measuring accuracy and hallucination rates, prompt engineering, defending against prompt injection and unsafe tool invocation.
Experience with cloud-native application development on Google Cloud Platform (Vertex AI / Gemini Enterprise Agent Platform, Agent Engine, Cloud Run, BigQuery, Pub/Sub, Secret Manager).
Experience writing and optimizing SQL queries against relational databases; familiarity with relational, NoSQL, and vector database technologies.
Experience building and supporting microservice-based architectures and APIs.
Experience with CI/CD pipelines, DevOps practices, and automated deployment tools.
Experience with source code management and version control systems (Git preferred).
Understanding of security frameworks for user and service authentication and authorization, and of handling sensitive data within AI systems (data classification, model endpoint controls, retention).
Familiarity with security operations concepts - MITRE ATT&CK, cyber threat intelligence, detection engineering, or offensive security - or demonstrated interest in developing it.
Experience with modern debugging, monitoring, and root cause analysis techniques, including observability and cost monitoring for LLM-based applications.
Experience creating and executing unit, functional, integration, performance, and automated tests.
Understanding of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies.
Working knowledge of front-end technologies (HTML, CSS, JavaScript, TypeScript frameworks) sufficient to build internal tools and dashboards.

Responsibilities

100% Deliver Execution & Problem Solving - Collaborate with Enterprise Technology to configure and integrate cybersecurity systems that mitigate risk; Troubleshoot and quickly resolve escalated incidents; Design, build, configure, maintain, monitor cybersecurity threat defense capabilities and user access management; Coordinate integration and collaboration with managed security providers; Investigate and recommend corrective actions related to incidents.