Principal Engineer, Clinical Data and AI Platforms

Vaga não está no LinkedIn

🔥 6 horas atrás

🏄 California, Connecticut, +11 estados a mais – Remoto

🏄 California – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $144.200 - $288.400 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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CVS Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1963

🏥 Saúde

⚕️ Seguro de Saúde

🛒 Varejo

Healthcare • Healthcare Insurance • Retail

CVS Health é uma empresa líder de saúde nos Estados Unidos, dedicada a ampliar o acesso e a acessibilidade ao cuidado. A empresa adota uma abordagem abrangente que inclui serviços de saúde, seguro saúde e gestão de benefícios farmacêuticos (PBM). Por meio de suas subsidiárias, como Aetna e CVS Caremark, a CVS Health oferece uma variedade de serviços que promovem o bem-estar, a gestão de condições de saúde e a cobertura acessível de medicamentos prescritos. A CVS Health opera farmácias de bairro, oferece serviços de farmácia por correspondência e gerencia programas de medicamentos de especialidade, com o objetivo de tornar o cuidado com a saúde conveniente e acessível para todos. Movida pela missão de conectar pessoas a serviços essenciais de cuidado, a CVS Health está comprometida em fomentar comunidades mais saudáveis e apoiar o bem-estar de todas as pessoas.

Descrição

• Design the platform architecture on Google Cloud with engineering leadership • Cover data acquisition, identity resolution, FHIR harmonization, data products, LLM and rules engines, and customer-facing products • Design systems to evolve quickly and lead their evolution over time • Frame trade-offs in isolation, data rights, scale, reliability and cost, and recommend options • Write production code for critical and complex platform components • Turn prototypes into reference implementations for team adoption • Lead practices for using AI coding agents, including specifications, guardrails, code review, evaluation and human oversight • Run pilots with engineering teams, measure delivery speed and quality effects, and recommend wider adoption • Maintain architecture, diagrams and documentation as code • Design AI-assisted operations for incident triage, runbook automation, and capacity and cost management • Build approval gates, least-privilege access and audit trails for AI agent actions • Propose service-level objectives and observability for measuring automation impact • Design enterprise control conformance, including change management, separation of duties, access reviews, data lineage, and model and prompt governance • Automate audit evidence collection with security, privacy, compliance and AI governance teams • Explain complex systems to engineers, product leaders, executives and customers through writing and diagrams • Develop technical business cases and present them to senior leadership

🎯 Requisitos

• 12+ years of experience building production distributed systems • 5+ years leading architecture across multiple teams at the staff or principal level • Experience designing and delivering large-scale batch and streaming data platforms • Current, hands-on coding experience in Python and either Go, Java, or C# • Deep experience with cloud platforms, preferably Google Cloud, including GKE, BigQuery, Spanner, Dataflow, Pub/Sub, Vertex AI and VPC Service Controls • Production experience with machine learning or large language model systems, including retrieval, extraction, evaluation and serving at scale • Extensive use of AI agents across design, development, testing and code review work, with measurable impact on delivery • Experience in a regulated environment, including designing controls and supporting systems through audits • Strong written communication and diagramming skills • Experience presenting to senior executives • Bachelor’s degree in computer science, engineering or a related technical field, or equivalent experience • Experience with healthcare data standards including FHIR, HL7v2, C-CDA, X12 claims, OMOP and CQL • Experience with national health information exchange through TEFCA and QHINs • Experience with master patient index and identity resolution at population scale • Payer or provider domain experience • Security architecture experience, including zero trust, attribute- and relationship-based access control, and threat modeling • Experience leading teams’ adoption of AI-assisted development practices • Public technical work such as open-source contributions, conference talks or published writing

🏖️ Benefícios

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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