Senior AI Agent Engineer at Oracle
Denver, CO
$114,600–$234,600from the description
Jul 17, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and deploying production-grade AI agents and automated workflows within an analytics and reporting ecosystem. Day-to-day work spans designing LLM-powered pipelines for tasks like SQL generation, metric design, insight discovery, and executive narrative creation, as well as integrating those capabilities with enterprise data platforms. Suited to an experienced software engineer with hands-on background developing grounded, testable, LLM-enabled applications.
Senior level · Remote · Full-time
Posted 10 times — it's one opening, so apply once.
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
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 (7)
No specific location is named in the posting beyond 'US'; the compensation range is stated as US-wide. No CBSA or state could be determined — the role may be remote-eligible or multi-site, but the posting does not explicitly state remote.
The posting names no specific LLM framework (e.g. LangChain, LlamaIndex, OpenAI SDK) or cloud platform — skills are described at the capability level only, so no named-tool skills beyond SQL could be extracted with confidence.
'AI agent development' and 'workflow automation' are listed as core responsibilities with firm language throughout the requirements framing; they are treated as hard gates despite being somewhat conceptual, because the entire role is defined around them.
The role sits between Software Developer (15-1252) and Data Scientist (15-2051): it builds production software (agents, APIs, pipelines) but is deeply focused on LLM-driven analytics and insight generation. Primary day-to-day work is engineering/building, so 15-1252 was chosen with 15-2051 as the runner-up.
Career Level IC4 at Oracle typically corresponds to a Senior individual contributor, consistent with the 'Senior' title and the scope described.
No minimum total years of experience is stated in the posting.
Ignored 5 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI agent development, workflow automation, tool-calling / function-calling patterns, AI evaluation and testing, semantic layer / semantic services.
Read the full posting
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