Senior Applied AI Engineer
Humana · Nashville, TN
$142,300–$195,700from the description
Jul 9, 2026
Nashville, TN
Jul 21, 2026
What this job asks for AI summary
A senior engineering role centered on building and deploying generative AI systems within an IT Service Management context, drawing on a large ITSM dataset housed in Databricks Unity Catalog. Day-to-day work spans developing and maintaining AI pipelines, APIs, and SDKs, deploying models and services on Databricks and Azure, and collaborating with data engineering and business stakeholders. Suits engineers with solid production Python experience and hands-on background in Databricks and cloud deployment.
Senior level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 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
Roughly 6,600 people nationally plausibly meet what this posting asks for (software developers). range 2,750–9,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (7)
SOC confidence is Medium: the role sits at the intersection of software engineering (building/deploying APIs, SDKs, production systems) and applied AI/ML (generative AI, embeddings, RAG). 15-1252 Software Developers was chosen because the primary day-to-day work is building and shipping software systems; 15-2051 Data Scientists is the runner-up given the heavy ML/AI focus.
The only hard experience gate stated at the role level is '3+ years of strong, hands-on experience with Python' — this drives both overall years minimum and Python's years demanded. No broader role-level year requirement is stated.
Databricks Unity Catalog and MLflow are called out explicitly under the Databricks familiarity requirement; they are captured as part of the Databricks gate and as a separate MLflow skill respectively.
CI/CD workflows in GitHub and/or ADO appear under Preferred Qualifications; Azure DevOps (ADO) is listed as an alternative to GitHub Actions for that preferred CI/CD skill.
RAG architecture, vector databases, and agentic orchestration are grouped as a single preferred bullet; RAG and vector databases are emitted as separate preferred skills. 'Agentic orchestration' names no specific tool and is omitted per extraction rules. 'MCP experience' (Model Context Protocol) is a bonus-points item with no canonical tool name widely established, so it is omitted.
The caller has instructed that this is a fully-remote, national-pool role; no metro is inferred despite the posting listing specific city proximity requirements.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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