Teams at Alignment Healthcare

Build and deploy production AI/ML systems, distributed services, integrations, automation pipelines, and MLOps infrastructure in a regulated healthcare environment. Responsibilities include cloud-native architecture, legacy and multimodal data integration, Docker and Kubernetes deployment, ETL orchestration, RPA, LLM and RAG workflows, Databricks model productionization, monitoring, cost optimization, and responsible AI practices. Collaborate with AI, data, product, clinical, and engineering teams.

Designs and governs enterprise data architecture for a Medicare Advantage health plan. Builds data models and integrations supporting claims, EHRs, risk adjustment, HEDIS, Star ratings, CMS reporting, analytics, and AI/ML. Establishes governance, security, privacy, lineage, and data quality frameworks for regulated PHI/PII environments. Evaluates cloud platforms and vendors, leads cross-functional architecture initiatives, and advances capabilities such as FHIR interoperability, generative AI, and real-time streaming.

Develop member-level predictive models and longitudinal analyses for CMS Health Outcomes Survey measures and Medicare Advantage Star Ratings. Analyze survey drivers, trajectories, sampling, response rates, case-mix adjustments, and statistical significance. Build data pipelines and dashboards, validate methodologies, deploy models with engineering teams, and translate findings into clinical and operational interventions. Collaborate with Stars, clinical, care management, compliance, legal, and survey vendor stakeholders to ensure CMS-aligned outcomes and reporting.