Healthcare AI Automation Engineer

Alignment Healthcare USA, LLC; Orange (CA); On-site; USD 130,000 - 195,000; Full time

Job summary

Alignment Health is seeking an Artificial Intelligence & Automation Engineer to design, build, and deploy intelligent AI systems and automated workflows within a regulated healthcare environment. You will partner with AI Scientists, Data Engineers, Product Managers, and Clinical Operations to translate complex problems into scalable solutions for claims, prior authorization, and member communication.

The role emphasizes productionizing models on cloud platforms, building CI/CD pipelines, and

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Professional experience in AI/ML, data science, or intelligent automation.
• Production cloud experience (AWS, Azure, or GCP) required.
• Experience with non-API and multimodal data integration in regulated environments.
• Proficiency with Python and ML frameworks; familiarity with LLMs and MLOps.

Responsibilities

• Build distributed, cloud-native AI systems and automated workflows.
• Develop APIs and microservices for scalable production use.
• Create CI/CD pipelines and containerized deployments (Docker/Kubernetes).
• Apply AI/ML to production pipelines and integrate LLMs using RAG and agentic frameworks.
• Collaborate with cross-functional teams to deliver compliant, reliable solutions.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Hugging Face

LLM frameworks

RAG pipelines

LangChain

Docker

Kubernetes

CI/CD for ML

Data engineering

SQL

Education

Bachelor's degree in CS/Engineering/Math/Data Science

Master's degree preferred

Tools

Databricks

MLflow

Airflow

Docker

Kubernetes

Job description

Alignment Health is seeking an Artificial Intelligence & Automation Engineer to design, build, and deploy intelligent AI systems and automated workflows within a regulated healthcare environment. You will partner with AI Scientists, Data Engineers, Product Managers, and Clinical Operations to translate complex problems into scalable solutions for claims, prior authorization, and member communication.

The role emphasizes productionizing models on cloud platforms, building CI/CD pipelines, and