Senior AI Systems Engineer — Production LLMs & HIPAA

Humana; Louisville (KY); Presencial; USD 130.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Dental benefits

Vision benefits

401K

Paid time off

Parental leave

Disability coverage

Life insurance

Bonus plan

Descripción de la vacante

Humana is seeking a senior AI architect to own the architecture and production operation of AI systems, including LLM-powered clinical tools and RAG pipelines. You will collaborate with product, clinical, and engineering teams to deliver safe and accurate features with HIPAA and Responsible AI compliance.

You will lead scale, reliability, and evaluation frameworks for production AI/ML, with hands-on work in Python and TypeScript, LangChain and vector databases, and secure handling of PHI.

Formación

• Requires a bachelor's or master's degree in a relevant field or equivalent experience.
• At least 8 years of software engineering experience.
• At least 4 years focused on production AI/ML systems; hands-on expertise with LLMs, Python, TypeScript, RAG, and secure handling of PHI.

Responsabilidades

• Own the architecture and production operation of AI systems including LLM-powered tools and RAG pipelines.
• Partner with product, clinical, and engineering stakeholders to develop and evaluate safe, accurate AI features while ensuring HIPAA and Responsible AI compliance.

Conocimientos

AI/ML systems

Python

TypeScript

LangChain

LlamaIndex

Hugging Face

PyTorch

Vector search

Multi-agent systems

Model fine-tuning

HIPAA compliance

Evaluation frameworks

Educación

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

Herramientas

LangChain

LlamaIndex

Hugging Face

PyTorch

Retrieval-Augmented Generation

Vector search

Model fine-tuning

Descripción del empleo

Humana is seeking a senior AI architect to own the architecture and production operation of AI systems, including LLM-powered clinical tools and RAG pipelines. You will collaborate with product, clinical, and engineering teams to deliver safe and accurate features with HIPAA and Responsible AI compliance.

You will lead scale, reliability, and evaluation frameworks for production AI/ML, with hands-on work in Python and TypeScript, LangChain and vector databases, and secure handling of PHI.