[Remote] Senior AI Automation Engineer

Note: The job is a remote job and is open to candidates in USA. Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most. The Senior AI & Automation Engineer will architect, build, and scale intelligent AI systems and enterprise automation solutions to improve care quality and operational performance across the Medicare Advantage business.ResponsibilitiesArchitect and deliver production-grade AI and machine learning systemsLead the design and scaling of intelligent process automationOwn AI/ML data infrastructure strategy and pipeline reliabilityIntegrate AI and automation systems into enterprise architectureArchitect and implement LLM-powered and agentic AI applicationsEstablish reliability standards and drive continuous system improvementMentor engineers and shape AI engineering cultureSkills5–8 years of professional experience in software engineering with a demonstrated, progressive focus on AI/ML, data science, or intelligent process automationProven track record of independently owning and delivering complex, production-grade AI/ML systems from design through deployment and ongoing operationsDemonstrated experience with the full AI/ML model lifecycle at scale: data architecture, model design, training, validation, deployment, monitoring, and retrainingExperience in a regulated industry (healthcare, insurance, or financial services) with deep working knowledge of compliance and security requirements in production AI environmentsExperience architecting and scaling automation solutions using RPA platforms and workflow orchestration tools, including cross-functional stakeholder engagement and ROI governanceBachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative fieldEquivalent combination of education and demonstrated, progressive senior-level hands-on experience will be consideredAdvanced, demonstrated proficiency with Python and ML frameworks through professional work experience at a senior level; formal training or equivalent self-directed mastery acceptedHands-on experience with cloud AI/ML platforms (AWS SageMaker, Azure AI, or Google Vertex AI) at an architecture or senior engineering level; certification or equivalent experience acceptedAI/ML Engineering: Expert-level Python proficiency with deep command of ML frameworks including PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers; advanced experience designing LLM-based systems including RAG pipelines, vector databases, and multi-agent orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI)Intelligent Process Automation — Architecture & Governance: Proven ability to architect enterprise-scale automation strategies using RPA platforms (UiPath, Power Automate, Automation Anywhere) and orchestration tools (Apache Airflow, Prefect, or n8n); experience setting engineering standards, conducting automation ROI governance, and leading complex, cross-functional automation programsCloud AI Platforms & MLOps: Expert-level experience with AWS SageMaker, Azure AI / Document Intelligence, Google Cloud Vertex AI, or Databricks; mastery of containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps tooling (MLflow, Kubeflow, or equivalent) at an architecture and governance levelData Engineering & AI Infrastructure: Ability to design, govern, and scale ETL and feature pipelines across complex, high-availability healthcare environments; deep proficiency in SQL, data architecture patterns, and real-time inference infrastructureHealthcare & Regulatory Expertise: Deep working knowledge of HIPAA compliance, data security requirements, and data governance in regulated healthcare environments; advanced familiarity with healthcare data standards including HL7 FHIR and ICD-10/CPT as applied to production AI and automation systemsTechnical Leadership & AI Innovation: Demonstrated ability to drive architectural decisions, mentor engineers, lead design reviews, and shape engineering standards across a team; track record of identifying and delivering high-ROI AI and automation innovations in an enterprise healthcare contextResponsible AI & Governance: Applied experience with ethical AI frameworks including bias detection, model explainability (SHAP, LIME, or equivalent), and AI governance practices; ability to embed responsible AI standards into team workflows where AI outputs directly influence member care and financial decisionsExperience applying AI, NLP, or ML to complex healthcare data including claims processing, revenue cycle management, prior authorization, medical coding, or clinical text understandingDemonstrated knowledge of healthcare data standards including HL7 FHIR, ICD-10/CPT codes, or DICOMExperience in a Medicare Advantage, managed care, or payer environment at a senior engineering levelPrior experience as an informal technical lead, principal engineer, or engineering lead on an AI/ML teamMaster's degree in Computer Science, AI/ML, or a related quantitative disciplineFormal certification or coursework in MLOps, cloud AI platforms (AWS, Azure, or GCP), responsible AI, or agentic AI developmentCertification in RPA platforms (UiPath, Automation Anywhere, or Microsoft Power Automate)Participation in advanced AI/ML communities, conferences, or open-source contributions demonstrating technical depthCloud certification from AWS, Microsoft Azure, or Google Cloud at an advanced or specialty level (AI/ML or data engineering track)RPA platform certification (UiPath, Automation Anywhere, or Microsoft Power Automate)Company OverviewAlignment Health provides eldercare services. It was founded in 2013, and is headquartered in Orange, California, USA, with a workforce of 501-1000 employees. Its website is https://www.alignmenthealth.com.Company H1B SponsorshipAlignment Health has a track record of offering H1B sponsorships, with 2 in 2026, 3 in 2025, 12 in 2024, 17 in 2023, 13 in 2022, 11 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.