Senior AI Engineer (Remote)
Home Depot · Denver, CO
$100,000–$180,000from the description
Jul 16, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A hands-on engineering role focused on building and operating production-grade AI systems, including multi-agent workflows, LLM/RAG-powered applications, and the orchestration and infrastructure layers that support them at enterprise scale. The bulk of the work involves writing code, configuring pipelines, and maintaining deployment reliability — with some time spent supporting other product teams and keeping up with developments in the field. Best suited to engineers with deep experience shipping AI systems end-to-end in complex organizational environments.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4,600 people nationally plausibly meet what this posting asks for (software developers). range 2,750–6,900
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
SOC confidence is Medium: the role sits at the intersection of ML Engineering and Software Engineering. 15-1252 (Software Developers) was chosen because the primary day-to-day work is building and shipping production-grade agentic AI systems and orchestration layers; 15-2051 (Data Scientists) is the runner-up given the deep AI/ML foundations required.
The posting's formal minimum education is a high school diploma/GED, and the Master's/Bachelor's in CS or AI appears only under Preferred Qualifications — the degree requirement is therefore None.
Terraform appears in both the Required skills section (as an example of infrastructure-as-code) and again under Preferred Qualifications. Because it is named with firm language in the Required section, it is treated as a hard gate; the Preferred mention is redundant.
Kubernetes/GKE is similarly named in both Required and Preferred sections; the Required section governs.
Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, and AutoGen all appear exclusively under Preferred Qualifications ('Hands-on experience with … or similar orchestration tools and frameworks').
Full-stack skills (Node.js, React, REST, Git, Linux) appear only under Preferred Qualifications.
The compensation range ($100,000–$180,000) is stated without an explicit 'per year' label in the posting, but the figures are consistent with an annual salary range for this role; the period is inferred as Year.
The caller has declared this role fully remote; no metro has been inferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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