Sr. AI Engineer at NYU Langone Health
New York, NY
$97,590–$140,000from the description
Jul 1, 2026
New York, NY
Jul 20, 2026
What this job asks for AI summary
This role centers on building and maintaining production-ready Generative AI and machine learning systems for a hospital's Remote Patient Monitoring platform. Day-to-day work spans designing MLOps/LLMOps pipelines, deploying and fine-tuning large language models for clinical use cases such as summarization and patient messaging, and ensuring HIPAA-compliant observability and security controls. It suits engineers with hands-on AI development experience who are comfortable bridging data science, clinical workflows, and cloud infrastructure.
Mid level · 1+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time
Advertised as Senior, but the requirements read as Mid.
“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 680 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (software developers). range 510–1,050
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 $170,499 (middle half $133,523–$210,499). 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)
The title says 'Sr. AI Engineer' but the minimum experience requirement is only 1–3 years, which aligns with a Mid-level role rather than Senior. The preferred qualifications mention 3–5 years of production AI experience, which still maps to Mid/Senior boundary — seniority is assessed as Mid based on the hard minimum gate.
SOC classification is Medium confidence: the role spans both software engineering (MLOps pipelines, CI/CD, containerization) and data science (model training, fine-tuning, LLMs). Primary day-to-day work leans toward building and shipping production AI software systems, so 15-1252 Software Developers is the primary code, with 15-2051 Data Scientists as a close runner-up.
PyTorch and TensorFlow are listed as alternatives under 'AI platforms like PyTorch or TensorFlow' in the required qualifications — one or the other satisfies the requirement.
Docker appears in the job responsibilities narrative alongside Kubernetes rather than in the explicit requirements section; treated as preferred.
MLflow and Kubeflow appear in both the responsibilities narrative (as examples) and the preferred qualifications section; treated as preferred. Airflow and Weights & Biases are listed only in preferred qualifications.
All cloud platform, RAG, vector database, MLOps tooling, and healthcare/EHR experience items appear exclusively under Preferred Qualifications.
HIPAA compliance is mentioned as a job responsibility but not listed as a hard gate in the minimum qualifications; it appears as a preferred qualification item.
Read the full posting
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