Senior AI Systems Engineer - LLMs, RAG & Clinical Safety

Humana; New York (NY); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Benefits

Dental Benefits

Vision Benefits

401(K) Retirement Savings Plan

Paid Time Off

Company Holidays

Personal Holidays

Paid Parental Leave

Paid Caregiver Leave

Short-Term Disability

Long-Term Disability

Life Insurance

Bonus Incentive Plan

Descripción de la vacante

Humana is seeking an experienced AI systems architect to own the architecture and production operation of AI systems, including LLM-powered clinical tools, RAG pipelines, agent workflows, and intelligent automation. You will partner with product, clinical, and data stakeholders to develop safe, accurate, and clinically relevant features while ensuring HIPAA and Responsible AI compliance.

This role requires hands-on leadership across design, deployment, monitoring, and security in a healthcare

Formación

• Requires a bachelor's or master's degree in a related field or equivalent experience.
• At least eight years of software engineering experience and at least four years focused on production AI/ML systems.

Responsabilidades

• Own the architecture and production operation of AI systems, including LLM-powered clinical tools, RAG pipelines, agent workflows, and intelligent automation.

Conocimientos

Software Engineering

Artificial Intelligence

Machine Learning

Large Language Models

Python

TypeScript

LLM-powered tools

RAG pipelines

Multi-Agent Systems

Vector Search

Model Fine-Tuning

AI Evaluation Frameworks

HIPAA Compliance

Clinical Informatics

Cloud Platforms

Educación

Bachelor's or Master's degree in a related field or equivalent experience

Herramientas

LangChain

LlamaIndex

Retrieval-Augmented Generation

Descripción del empleo

Humana is seeking an experienced AI systems architect to own the architecture and production operation of AI systems, including LLM-powered clinical tools, RAG pipelines, agent workflows, and intelligent automation. You will partner with product, clinical, and data stakeholders to develop safe, accurate, and clinically relevant features while ensuring HIPAA and Responsible AI compliance.

This role requires hands-on leadership across design, deployment, monitoring, and security in a healthcare