AI Operations Architect & AWS Engineer, Life Sciences at Norstella
Frankfort, KY
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Jul 27, 2026
Frankfort, KY
Jul 28, 2026
What this job asks for AI summary
This role designs, deploys, and operates production-grade LLM systems on AWS for a life sciences data platform, with a focus on large-scale clinical data extraction from real-world clinical notes. The work spans agentic AI pipeline development, open-weight LLM serving infrastructure, CI/CD for prompt and model versioning, and HIPAA-compliant cloud architecture. It suits an engineer with deep AWS and applied NLP/ML operations experience who can bridge prototype research and hardened production systems.
Senior level · 5+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 11 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 820 people nationally plausibly meet what this posting asks for (software developers). range 350–1,750
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).
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 job title in the posting header reads 'AI Operations Architect & AWS Engineer' while the body description calls it 'LLM Operations Architect & AWS Engineer' — both are treated as the same role.
The posting requires a Master's degree in Computer Science, Data Science, or a related field with no 'or equivalent experience' escape clause, so it is treated as a hard degree gate.
The role is classified as Software Developers (15-1252) because the primary day-to-day work is building and shipping agentic AI pipelines, LLM serving infrastructure, and CI/CD systems — i.e., writing and deploying code. The runner-up 15-1244 (Network/Systems Admins) reflects the significant infrastructure operations component, but the role clearly ships software.
Terraform, CloudFormation, and AWS CDK are listed together as acceptable infrastructure-as-code options under required qualifications; Terraform is named first with the others as alternatives.
vLLM and TGI are listed as example serving frameworks under required qualifications ('such as vLLM, TGI, or equivalent'); they are captured as a single required skill with alternatives.
LangChain and LangGraph are listed together as LLM orchestration tooling examples under required qualifications; captured as one skill with LangGraph as an alternative.
HIPAA compliance experience appears in both required responsibilities and preferred qualifications; it is marked preferred because the required section frames it as a compliance responsibility rather than a candidate gate, while the preferred section explicitly calls out 'Direct experience with PHI handling and HIPAA-compliant ML infrastructure' as a bonus.
No compensation figures are stated in the posting.
Read the full posting
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