AI Automation Engineer - Alignment Health

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first.We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.

Job Duties / Responsibilities

Design and deploy production-grade AI and machine learning models. Build, test, and deploy predictive and generative AI models — including NLP, classification, regression, and computer vision — into cloud-based environmentsoptimizedfor Medicare Advantage workloads such as claims processing, risk adjustment, and member communication. Maintain rigorous monitoring and drift detection to preserve model integrity over time.

Build andoperateintelligent process automation solutions. Identifyand automate high-volume, repetitive business processes using RPA platforms (e.g., UiPath, Power Automate) and orchestration tools (e.g., Airflow, Prefect). Evaluate automation ROI, build fault-tolerant workflows with proper error handling and alerting, andmaintainautomationbotsand pipelines as business needsevolve.

Develop andmaintainAI/ML data infrastructure and pipelines. Build robust ETL and feature engineering pipelines that support model training, validation, and real-time inference. Manage AI/ML infrastructure to enable efficient experimentation, retraining, andmonitoringso that models perform accurately and equitably in our regulated production environment.

Integrate AI models and automation services into enterprise products. Connect deployed models and automation services into existing systems via REST APIs and microservices, ensuring full adherence to HIPAA security and privacy standards. Containerize and deploy using Docker and Kubernetes with CI/CD pipelines that ensure reproducible, reliable releases.

Implement LLM-powered applications and generative AI capabilities. Integrate large language models into clinical and operational workflows using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Leverage agentic AI frameworks to build multi-step automation solutions that deliver end-to-end workflow transformation for high-impact processes such as clinical document intelligence and member engagement.

Monitor,optimize, and ensure system reliability. Continuously test and tune models, pipelines, and automationbotsto improve accuracy, latency, and scalability. Implement monitoring and alerting frameworks to proactivelyidentifydegradation or data quality issues before they affect member outcomes or operational thro