Principal Enterprise Architect, AI Health Cloud
BrightSpring Health Services · LOUISVILLE, KY
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Jul 15, 2026
LOUISVILLE, KY
Jul 21, 2026
What this job asks for AI summary
A senior architecture role focused on designing and building an AI/ML-powered healthcare cloud platform end to end — from API and microservices layers to LLM pipelines, RAG systems, and agentic AI frameworks. The work spans platform engineering, integration standards, MLOps, and embedding AI capabilities into clinical and pharmacy workflows, all within HIPAA and healthcare interoperability constraints. Suited to a seasoned enterprise architect with deep AI/ML and healthcare systems experience.
Principal level · 15+ years · National · 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
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 $119,144 (middle half $81,115–$160,963).
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 (8)
The role is titled 'Principal Enterprise Architect' and carries 15+ years overall / 10+ years AI/ML architecture requirements, with org-wide platform authority — this genuinely supports Principal-level classification rather than the typical Senior band.
SOC 15-1299 (Computer Occupations, All Other) is used for Enterprise/Solution Architect roles, which do not map cleanly to a single BLS code; 15-1252 (Software Developers) is the closest runner-up given the hands-on full-stack and platform engineering emphasis.
Azure is listed as 'preferred' within the qualifications block ('Azure preferred'), but the broader cloud platform requirement is stated as a hard gate; Azure is captured as the primary with AWS and GCP as alternatives.
LangChain and AutoGen are listed as examples ('e.g., LangChain, AutoGen') of agentic AI frameworks within the required qualifications block — they are treated as interchangeable alternatives for the same hard-gated requirement.
An advanced degree (MS or PhD) appears only under 'Preferred Qualifications', so the degree requirement is set to None.
Python/data science background and responsible AI knowledge appear only under 'Preferred Qualifications' and are marked accordingly.
No compensation figures are provided in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML architecture, responsible AI / model explainability.
Read the full posting
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